CN108875822A - Data acquisition method and device, electronic equipment and computer readable storage medium - Google Patents

Abstract

The embodiment of the invention discloses a data acquisition method, a data acquisition device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring a current image of a placement position and first article information preset in the placement position; identifying the current image and determining second article information of the article placement position; and acquiring historical information corresponding to the placement position, and determining abnormal data information according to the first article information, the second article information and the historical information. This technical scheme comes the automatic determination abnormal data information through putting the comparison of the present article information of thing department and predetermineeing article information, and the cost that can the significantly reduced human input like this improves data statistics efficiency, and then effectively supports the large-scale development of unmanned trade of selling.

Description

Data acquisition method, device, electronic device, and computer-readable storage medium

technical field

The embodiments of the present invention relate to the technical field of information processing, and in particular to a data acquisition method, device, electronic equipment, and computer-readable storage medium.

Background technique

With the development of Internet technology and the advancement of science and technology, in order to facilitate people's use, unmanned supermarkets, unmanned vending machines, and unmanned shelves have emerged as the times require to realize completely independent shopping.

However, the inventor found in the process of realizing the present invention that since no one supervises the user's purchase behavior in the unmanned sales environment, there is often a reduction in goods other than purchase behavior, which in turn leads to business losses for merchants. In order to understand the loss of goods, merchants usually use manual inventory to achieve, but manual inventory takes a long time, poor real-time performance, and high labor costs.

Contents of the invention

Embodiments of the present invention provide a data acquisition method, device, electronic equipment, and computer-readable storage medium.

In a first aspect, an embodiment of the present invention provides a data acquisition method.

Specifically, the data acquisition method includes:

Acquiring the current image of the storage place and the preset first item information of the storage place;

Recognizing the current image, and determining the second item information at the storage place;

Obtain historical information corresponding to the storage place, and determine abnormal data information according to the first item information, the second item information, and the historical information.

With reference to the first aspect, in the first implementation manner of the first aspect, in the embodiment of the present invention, the acquisition of historical information corresponding to the storage place is based on the first item information, the second item information and the Historical information identifies abnormal data information, including:

determining third attribute information of the item at the storage place according to the first item information and the second item information;

Obtain historical information corresponding to the storage place, and determine abnormal data information according to the historical information and the third attribute information.

In combination with the first aspect and the first implementation manner of the first aspect, in the second implementation manner of the first aspect in the embodiment of the present invention, the acquisition of historical information corresponding to the storage place, according to the first item information , the second item information and the historical information determine the abnormal data information, including:

determining a target item in the current image and fourth attribute information of the target item according to the first item information and the second item information;

Obtain historical information corresponding to the target item, and determine abnormal data information of the target item according to the historical information of the target item and the fourth attribute information.

Combining the first aspect, the first implementation of the first aspect and the second implementation of the first aspect, in the third implementation of the first aspect in the embodiment of the present invention, at least two A preset position, where a preset number of items are placed.

Combining the first aspect, the first implementation of the first aspect, the second implementation of the first aspect and the third implementation of the first aspect, the embodiment of the present invention is in the fourth implementation of the first aspect , the determining the target item in the current image and the fourth attribute information of the target item according to the first item information and the second item information includes:

determining first attribute information of a preset item corresponding to the preset position according to the first item information;

determining second attribute information of the item in the storage place corresponding to the preset position according to the second item information;

Comparing the first attribute information with the second attribute information to determine the target item and fourth attribute information of the target item.

In combination with the first aspect, the first implementation of the first aspect, the second implementation of the first aspect, the third implementation of the first aspect, and the fourth implementation of the first aspect, the embodiment of the present invention is In the fifth implementation manner of the first aspect, the determining the target item in the current image and the fourth attribute information of the target item according to the first item information and the second item information includes:

determining fifth attribute information of preset items according to the first item information;

determining sixth attribute information of the item at the storage place according to the second item information;

Comparing the fifth attribute information and the sixth attribute information to determine the target item and fourth attribute information of the target item.

Combining the first aspect, the first implementation of the first aspect, the second implementation of the first aspect, the third implementation of the first aspect, the fourth implementation of the first aspect and the first implementation of the first aspect Five implementations. In the sixth implementation of the first aspect of the embodiment of the present invention, the historical information includes: initial placement quantity, historical supplementary data within a preset historical time period, historical data within a preset historical time period sales data and cost price data;

The determining abnormal data information according to the first item information, the second item information and the historical information includes:

calculating an abnormal number of items at the storage place according to the first item information, the second item information, and the historical information;

The abnormal data information is determined according to the cost price data and the abnormal quantity.

Combining the first aspect, the first implementation of the first aspect, the second implementation of the first aspect, the third implementation of the first aspect, the fourth implementation of the first aspect, the first implementation of the first aspect Five implementations and the sixth implementation of the first aspect, the embodiment of the present invention in the seventh implementation of the first aspect further includes:

Integrating the abnormal data information to obtain abnormal state data information at the storage place;

Preset operations are performed according to the abnormal state data information at the object.

In a second aspect, an embodiment of the present invention provides a data acquisition device.

Specifically, the data acquisition device includes:

An acquisition module configured to acquire the current image of the storage place and the preset first item information of the storage place;

An identification module configured to identify the current image and determine the second item information at the storage place;

The determining module is configured to obtain historical information corresponding to the storage place, and determine abnormal data information according to the first item information, the second item information, and the historical information.

With reference to the second aspect, in the first implementation manner of the second aspect of the embodiment of the present invention, the determination module includes:

The first determining submodule is configured to determine third attribute information of the item at the storage place according to the first item information and the second item information;

The second determining submodule is configured to obtain historical information corresponding to the storage place, and determine abnormal data information according to the historical information and the third attribute information.

In combination with the second aspect and the first implementation manner of the second aspect, in the second implementation manner of the second aspect in the embodiment of the present invention, the determination module includes:

The third determining submodule is configured to determine the target item in the current image and fourth attribute information of the target item according to the first item information and the second item information;

The fourth determining submodule is configured to acquire historical information corresponding to the target item, and determine abnormal data information of the target item according to the historical information of the target item and the fourth attribute information.

Combining the second aspect, the first implementation of the second aspect and the second implementation of the second aspect, in the third implementation of the second aspect in the embodiment of the present invention, at least two A preset position, where a preset number of items are placed.

Combining the second aspect, the first implementation of the second aspect, the second implementation of the second aspect and the third implementation of the second aspect, the embodiment of the present invention is in the fourth implementation of the second aspect , the third determining submodule includes:

The fifth determining submodule is configured to determine the first attribute information of the preset item corresponding to the preset position according to the first item information;

The sixth determining submodule is configured to determine the second attribute information of the item in the storage place corresponding to the preset position according to the second item information;

The seventh determining submodule is configured to compare the first attribute information with the second attribute information, and determine the target item and fourth attribute information of the target item.

In combination with the second aspect, the first implementation of the second aspect, the second implementation of the second aspect, the third implementation of the second aspect, and the fourth implementation of the second aspect, the embodiments of the present invention are In a fifth implementation manner of the second aspect, the third determining submodule includes:

The eighth determining submodule is configured to determine the fifth attribute information of the preset item according to the first item information;

The ninth determination submodule is configured to determine the sixth attribute information of the item in the storage place according to the second item information;

The tenth determining submodule is configured to compare the fifth attribute information with the sixth attribute information, and determine the target item and fourth attribute information of the target item.

Combining the second aspect, the first implementation of the second aspect, the second implementation of the second aspect, the third implementation of the second aspect, the fourth implementation of the second aspect and the first implementation of the second aspect Five implementations. In the sixth implementation of the second aspect of the embodiment of the present invention, the historical information includes: initial placement quantity, historical supplementary data within a preset historical time period, historical data within a preset historical time period sales data and cost price data;

The determination module includes:

A calculation submodule configured to calculate the abnormal number of items in the storage place according to the first item information, the second item information and the historical information;

The eleventh determining submodule is configured to determine the abnormal data information according to the cost price data and the abnormal quantity.

Combining the second aspect, the first implementation of the second aspect, the second implementation of the second aspect, the third implementation of the second aspect, the fourth implementation of the second aspect, and the first implementation of the second aspect Five implementations and the sixth implementation of the second aspect, the embodiment of the present invention in the seventh implementation of the second aspect further includes:

The integration module is configured to integrate the abnormal data information to obtain the abnormal state data information at the storage place;

The execution module is configured to execute preset operations according to the abnormal state data information at the object.

In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, the memory is used to store one or more computer instructions that support the data acquisition device to execute the data acquisition method in the first aspect above, the The processor is configured to execute computer instructions stored in said memory. The data acquisition device may also include a communication interface for the data acquisition device to communicate with other devices or a communication network.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium for storing computer instructions used by a data acquisition device, which includes a computer for performing the data acquisition method in the first aspect above as the data acquisition device instruction.

The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

The above technical solution first obtains the current image of the storage place and the preset item information of the storage place, then identifies the current image, determines the second item information of the storage place, and finally obtains the corresponding historical information of the storage place, Abnormal data information is determined according to the first item information, the second item information, and the history information. The technical solution automatically determines the abnormal data information of abnormal items according to the comparison of the second item information acquired by the current image of the storage place with the preset item information, which can greatly reduce the cost of manpower input, improve the efficiency of data statistics, and effectively support unmanned The large-scale development of the sales industry.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and are not intended to limit the embodiments of the present invention.

Description of drawings

Other features, objects and advantages of the embodiments of the present invention will become more apparent through the following detailed description of the non-limiting embodiments in conjunction with the accompanying drawings. In the attached picture:

Fig. 1 shows the flowchart of the data acquisition method according to an embodiment of the present invention;

FIG. 2 shows a flow chart of step S103 of the data acquisition method according to the embodiment shown in FIG. 1;

FIG. 3 shows a flow chart of step S103 of a data acquisition method according to another embodiment;

FIG. 4 shows a flow chart of step S301 of the data acquisition method according to the embodiment shown in FIG. 3;

FIG. 5 shows a flow chart of step S301 of a data acquisition method according to another embodiment;

FIG. 6 shows a flow chart of step S103 of a data acquisition method according to another embodiment;

FIG. 7 shows a flowchart of a part of executing a preset operation in a data acquisition method according to another embodiment of the present invention;

Fig. 8 shows a structural block diagram of a data acquisition device according to an embodiment of the present invention;

FIG. 9 shows a structural block diagram of a determination module 803 of the data acquisition device according to the embodiment shown in FIG. 8;

FIG. 10 shows a structural block diagram of a determination module 803 of a data acquisition device according to another embodiment;

Fig. 11 shows a structural block diagram of the third determining submodule 1001 of the data acquisition device according to the embodiment shown in Fig. 10;

Fig. 12 shows a structural block diagram of a third determination submodule 1001 of a data acquisition device according to another embodiment;

Fig. 13 shows a structural block diagram of a determination module 803 of a data acquisition device according to another embodiment;

Fig. 14 shows a structural block diagram of a part for performing preset operations of a data acquisition device according to another embodiment of the present invention;

Fig. 15 shows a structural block diagram of an electronic device according to an embodiment of the present invention;

Fig. 16 is a schematic structural diagram of a computer system suitable for implementing a data acquisition method according to an embodiment of the present invention.

Detailed ways

Hereinafter, exemplary embodiments of embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

In the embodiments of the present invention, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in this specification, and are not intended to The possibility that one or more other features, numbers, steps, acts, parts, parts or combinations thereof exist or be added is excluded.

In addition, it should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The embodiments of the present invention will be described in detail below with reference to the drawings and in combination with the embodiments.

The technical solution provided by the embodiment of the present invention first obtains the current image of the storage place and the preset item information of the storage place, then recognizes the current image, determines the second item information of the storage place, and finally obtains the information of the storage place Corresponding to the historical information, the abnormal data information is determined according to the first item information, the second item information, and the historical information. The technical solution automatically determines the abnormal data information of abnormal items according to the comparison of the second item information acquired by the current image of the storage place with the preset item information, which can greatly reduce the cost of manpower input, improve the efficiency of data statistics, and effectively support unmanned The scale development of the sales industry.

FIG. 1 shows a flow chart of a data acquisition method according to an embodiment of the present invention. The data acquisition method can be implemented on a client such as a smart vending machine, or can be implemented on a server. As shown in Figure 1, the data acquisition method includes the following steps S101-S103:

In step S101, the current image of the storage place and the preset first item information of the storage place are acquired;

In step S102, the current image is identified, and the second item information at the storage place is determined;

In step S103, historical information corresponding to the storage place is obtained, and abnormal data information is determined according to the first item information, the second item information, and the historical information.

As mentioned above, with the development of Internet technology and the advancement of science and technology, in order to facilitate people's use, unmanned supermarkets, unmanned vending machines, and unmanned shelves have emerged as the times require to realize completely independent shopping. However, since there is no one in the unmanned sales environment and no one supervises the purchase behavior of users, there will often be a reduction in goods other than purchase behavior, which will lead to business losses for merchants. For the unmanned vending industry, cargo damage is an indispensable core data for business operations, one of the most important parameters for evaluating the quality of point-of-sale operations, and an important basis for point-of-sale operation strategy decisions. At present, the control of cargo damage data mainly relies on periodic manual inventory, but this method takes a long time, has poor real-time performance, and has high labor costs.

Considering the above defects, in this embodiment, a data acquisition method is proposed, the method first obtains the current image of the storage place and the preset item information of the storage place; then recognizes the current image and determines the current item information of the storage place ; Finally, obtain historical information corresponding to the storage place, and determine abnormal data information according to the first item information, the second item information, and the historical information. This technical solution automatically determines the abnormal data information of abnormal items in the storage place by comparing the current item information and preset item information in the storage place with the corresponding historical information in the storage place, which can greatly reduce the cost of manpower input and improve the efficiency of data statistics. This will effectively support the large-scale development of the unmanned vending industry.

Wherein, the storage place may be a storage space where vending machines, vending machines, shelves, etc. can place vendable items. The above is only an exemplary description, and the embodiment of the present invention does not specifically limit the specific implementation form of the storage place.

In an optional implementation of this embodiment, the current image of the storage place can be acquired at preset time intervals through an image acquisition device such as a camera placed near the storage place, or the current image of the storage place can be collected manually in a manual manner. For the current image, the embodiment of the present invention does not specifically limit the specific manner of acquiring the current image of the storage place.

In an optional implementation of this embodiment, after the current image of the storage place is obtained, the current information of the items placed in the storage place can be obtained by means of image target recognition technology, that is, the second item information of the storage place, Wherein, the second item information includes current quantity information, current category information and the like of the item. For example, through target feature extraction, matching, and analysis to identify whether there is one or several items in the current image, the quantity of each item, and the respective pixel positions in the image, etc., and then pass the image pixel position Corresponding to the actual position, information such as the current quantity information and current category information of the items placed in the storage space can be obtained. When the current image is a depth image, the specific quantity of the current item can be directly identified, and the depth image refers to an image containing information about the distance from the surface of the scene object of the viewpoint, and its pixel value is the same as that of the image acquisition device There is a corresponding relationship between the actual distance from the captured image object, that is, the distance information between the captured image object and the image capture device can be known through the depth image. Therefore, with the help of the current depth image including the distance information, the specific current quantity of the items corresponding to the preset position of the storage place can be determined. When the current image is a normal image, it can be identified whether the number of items corresponding to the preset position is 0.

In an optional implementation manner of this embodiment, the first item information preset at the storage place is item information with a preset number placed at a preset position of the storage place, and at least two preset items may be set at the storage place. The preset positions are respectively placed with a preset number of items. Wherein, the first item information may be a preset item image, or a list of preset items, wherein the preset item image may be a preset image, or it may be understood as A standard image for placing items in the storage place. In this image, a preset number of specific items are respectively placed at the preset positions of the storage place. When actually selling, they are placed at the corresponding positions of the storage place according to the preset image of the items Corresponding items, in order to compare the quantity of subsequent items, of course, the items placed at different preset positions can be the same or different; wherein, the list of preset items can include one or more preset positions where preset items are placed , the category and quantity of preset items placed in each preset position, or information about different positions where a certain type of preset items are placed, and the quantities of the items placed in each position, etc.

For example, if there are 4 preset positions in the storage place, which are respectively preset position 1, preset position 2, preset position 3 and preset position 4, there are 4 kinds of preset items placed, which are respectively preset item 1, preset item 2, preset item 3, and preset item 4, then when the preset item information is a preset item image, the first number of preset item 1 can be placed in the image at preset position 1, and the preset position The second number of preset items 2 is placed at 2, the third number of preset items 3 is placed at preset position 3, the fourth number of preset items 4 is placed at preset position 4, or, at preset position 1 The first number of preset items 1 is placed, the second number of preset items 2 and the third number of preset items 3 are placed at the preset position 2, and the fourth number of preset items 3 is placed at the preset position 3. Assume that the fifth quantity of preset items 4 is placed at position 4, and of course other items can also be placed; when the preset item information is a list of preset items, the list of preset items can be presented as:

Location display content quantity Preset position 1 Default item 1 first quantity Preset position 2 Default item 2 second quantity Default item 3 third quantity Preset position 3 Default item 3 fourth quantity Default Item 4 fifth quantity Preset position 4 Default Item 4 sixth number

Can also be rendered as:

display content Location quantity Default item 1 Preset position 1 first quantity Preset position 2 second quantity Default item 2 Preset position 2 third quantity Default item 3 Preset position 3 fourth quantity Preset position 4 fifth quantity Default Item 4 Preset position 4 sixth number

In an optional implementation of this embodiment, the historical information corresponding to the storage place includes: the initial quantity of items placed, the historical supplementary data of the items in the preset historical time period, the historical sales data of the items in the preset historical time period, and the item cost price data, etc. Wherein, the initial quantity of items placed can represent the initial quantity of items initially placed in the storage place. In order to reduce the amount of data storage, the historical information of the items can also be updated every once in a while, such as the end time of the previous abnormal data calculation As the initial time of the next statistical time period, at this time, the initial placement quantity can refer to an update time period, or the number of items placed in the storage place at the initial time of a preset historical time period; the item cost The price data can refer to the item purchase cost price data, and can also refer to the item sales price data, which can be determined according to the needs of practical applications, and the present invention does not specifically limit it; the item historical supplementary data refers to a preset Set historical time period, such as item supplementary data in the historical time period from the current time to the previous abnormal data calculation time; the item historical sales data refers to a preset historical time period, such as from the current time Item sales data in the historical time period up to the time when the previous exception data was calculated.

Wherein, the abnormal data information refers to data other than normal item flow data such as normal sales and normal damage, for example, item quantity reduction data caused by non-sales behavior, abnormal damage data, etc., which can also be collectively referred to as cargo damage. data. The abnormal data information can be obtained by comparing the item attribute information. For example, after knowing the purchase quantity, sales quantity and existing quantity of a certain commodity, the sum of the sales quantity and the existing quantity can be compared with the purchase quantity , combined with the selling price of the commodity to get.

In an optional implementation of this embodiment, as shown in FIG. 2, the step S103, that is, the acquisition of historical information corresponding to the storage place, according to the first item information, the second item information The step of determining abnormal data information based on the historical information includes steps S201-S202:

In step S201, according to the first item information and the second item information, determine the third attribute information of the item in the storage place;

In step S202, historical information corresponding to the storage place is obtained, and abnormal data information is determined according to the historical information and the third attribute information.

Considering that regardless of whether the current item information at the storage place is consistent with the preset item information, one or several items may be damaged. For example, if the current item information at the storage place is inconsistent with the preset item information, it may be due to The item information is different due to normal sales, or the item information may be different due to damage; The goods were damaged during the sales process, but the current item information happened to be consistent with the preset item information. Therefore, in this implementation, it is necessary to determine the third attribute information of the items in the storage place according to the first item information and the second item information, wherein the third attribute information includes the quantity information of all items placed in the storage place , category information and other information, and then compare it with the historical information of the item corresponding to the storage place to determine the abnormal data information.

In an optional implementation of this embodiment, in order to quickly estimate and obtain the abnormal data information at the storage place, considering that items whose current item information is inconsistent with the preset item information are more likely to be damaged, the current item information can be Items that are inconsistent with the preset item information are used as target items, and then the abnormal data information is estimated for the target items.

In this implementation, as shown in FIG. 3, the step S103, that is, the acquisition of the historical information corresponding to the storage place, is determined according to the first item information, the second item information, and the historical information. The steps of abnormal data information include steps S301-S302:

In step S301, determining a target item in the current image and fourth attribute information of the target item according to the first item information and the second item information;

In step S302, historical information corresponding to the target item is acquired, and abnormal data information of the target item is determined according to the historical information of the target item and the fourth attribute information.

In this implementation, the target item whose current item information in the current image is inconsistent with the preset item information is determined according to the current first item information and the preset second item information, and the fourth attribute information of the target item is acquired , wherein the fourth attribute information includes information such as quantity information and category information of the target item, and then compares the fourth attribute information of the target item with the historical information of the target item to determine the abnormal data information of the target item, as Estimation of abnormal data information at the storage place. This embodiment can increase the calculation speed of the estimated value and save calculation time while ensuring the accuracy of the estimation.

Wherein, the target item may be, for example, an item in short supply, etc., and those skilled in the art may set the target item according to actual application requirements.

In an optional implementation manner of this embodiment, at least two preset positions are set at the storage place, and a preset number of items are placed in the preset positions. When a similar item is placed at a certain preset position, the number of items at the corresponding position can be directly compared to determine the target item. For example, for the preset position 1, it is assumed that there are currently 3 items placed at the preset position 1 Item 1, and the preset quantity of the item at the preset position 1 is 6, and the current quantity 3 of the item 1 is less than the preset quantity 6, then the item is considered to be an item with a shortage in quantity, that is, the target item.

In this implementation, as shown in FIG. 4, the step S301 is to determine the target item in the current image and the fourth attribute of the target item according to the first item information and the second item information Information steps, including steps S401-S403:

In step S401, determine the first attribute information of the preset item corresponding to the preset position according to the first item information;

In step S402, determining the second attribute information of the item in the storage place corresponding to the preset position according to the second item information;

In step S403, the first attribute information and the second attribute information are compared to determine the target item and fourth attribute information of the target item.

Wherein, the first attribute information includes information such as quantity information and category information of preset items, and the second attribute information includes information such as current quantity information and category information of items at the storage place.

In this implementation, by comparing the first attribute information of the preset item placed at the preset position with the second attribute information of the current item placed at the corresponding preset position, it can be determined which items have inconsistent attribute information, Furthermore, it can be determined which items are the target items. After the target item is determined, in order to further determine whether the target item is indeed an item with cargo damage, the fourth attribute information of the target item should also be obtained, wherein the The fourth attribute information includes information such as quantity information and category information of the target item.

Considering that in some application scenarios, it is possible that multiple items placed in different locations may have the same type of item, or that the type of item placed in the same location may be different, or that the type of item placed in each location changes randomly and is not fixed. Therefore, in this In an optional implementation manner of the embodiment, the positions where the items are placed in the storage place do not need to be preset. For example, the preset item information may be expressed as:

display content quantity Default item 1 first quantity Default item 2 second quantity Default item 3 third quantity Default Item 4 fourth quantity

That is to say, a certain preset position of the storage place may place items of the same type, or different types of items, that is, a certain type of item may be placed in the same preset position, or may be placed in different preset positions. position, at this time, the summary quantity of a certain type of item can be directly counted, and then compared with the preset quantity of this type of item to determine the target item, for example, for item 1, there is one at preset position 1, There are 3 at the preset position 2, then the total quantity of item 1 placed in the storage is 4, and the preset quantity of item 1 placed in the storage is 6, the current quantity of item 1 is 4 less than the preset quantity of 6, The item is then considered to be an item in which there is a shortage in quantity, the target item.

In this implementation, as shown in FIG. 5, the step S301 is to determine the target item in the current image and the fourth attribute of the target item according to the first item information and the second item information Information steps, including steps S501-S503:

In step S501, determining fifth attribute information of a preset item according to the first item information;

In step S502, determining sixth attribute information of the item in the storage place according to the second item information;

In step S503, the fifth attribute information and the sixth attribute information are compared to determine the target item and fourth attribute information of the target item.

Wherein, the fifth attribute information includes information such as quantity information and category information of preset items, and the sixth attribute information includes information such as current quantity information and category information of items at the storage place. In this embodiment, since the position of the preset item placed in the storage place does not need to be preset, the sixth attribute information of the item placed in the storage place in the current image can be directly identified, such as the category of the item and the corresponding The number of items, wherein, the identification method of the item attribute information is as described above, and will not be repeated here; then the sixth attribute information of the same item category is compared with the fifth attribute information of the preset item, and by judging the current item quantity Determine which items are the target items if it is less than the preset number of items. After the target item is determined, in order to further determine whether the target item is indeed an item with cargo damage, the fourth attribute information of the target item should also be obtained. , wherein the fourth attribute information includes information such as quantity information and category information of the target item. As mentioned above, when the current number of items of the same item category is less than the preset number of items, it can be considered as the target item. In actual implementation, considering that the above-mentioned difference in quantity may be caused by normal sales behavior, therefore, In order to reduce the amount of calculation and the calculation error, a quantity threshold can also be set, and when the difference between the current quantity of items of the same category and the preset quantity of items is greater than the quantity threshold, it is considered as the target item.

The above scheme can accurately and quickly determine the target items that meet the preset conditions through the comparison of attribute information, such as items in short supply. In addition, the scheme can automatically perform identification work with the help of computing tools, which can effectively save labor costs, improve work efficiency and recognition accuracy.

In an optional implementation of this embodiment, as shown in FIG. 6, in step S103, determining the abnormal data information according to the first item information, the second item information, and the history information Steps, including steps S601-S602:

In step S601, calculating the abnormal number of items in the storage place according to the first item information, the second item information and the historical information;

In step S602, the abnormal data information is determined according to the cost price data and the abnormal quantity.

As mentioned above, the abnormal data information refers to data other than normal item flow data such as normal sales and normal damage, such as data on item quantity reduction caused by non-sales behavior, abnormal damage data, etc. Collectively referred to as cargo damage data. The abnormal data information can be obtained by comparing the item attribute information. For example, after knowing the purchase quantity, sales quantity and existing quantity of a certain commodity, the sum of the sales quantity and the existing quantity can be compared with the purchase quantity , combined with the selling price of the commodity to get.

In this embodiment, after obtaining the historical information corresponding to the storage place, the abnormal number of items in the storage place is calculated according to the first item information, the second item information and the historical information, for example, The following formula can be used to calculate the abnormal number of items in the storage place:

The abnormal number of items in the storage place = the initial placement data of the item + the historical supplementary data of the item in the preset historical time period - the current placement data of the item - the historical sales data of the item in the preset historical time period.

Then, according to the cost price data and abnormal quantity of the item, the abnormal data information of the item can be determined. For example, by multiplying the cost price data of the item by its abnormal quantity, the abnormal data information of the item can be obtained, that is, the damage data of the item.

In an optional implementation of this embodiment, as shown in FIG. 7, the method further includes steps S701-S702:

In step S701, the abnormal data information is integrated to obtain the abnormal state data information of the storage place;

In step S702, a preset operation is performed according to the abnormal state data information at the object.

In this embodiment, considering that there may be two or more abnormal items in a storage place, for example, there are two or more items that are in short supply, therefore, the abnormal data of the items in short supply at the storage place can be The information is integrated and counted to obtain the abnormal state data information at the storage place. For example, the abnormal quantities of different types of items in short supply can be added, or the abnormal state data information of different quantities of insufficient items can be integrated and counted into a single quantity shortage In the item list, to grasp the overall quantity shortage of the storage place.

Further, after obtaining the abnormal state data information at the object, a preset operation may be performed according to the abnormal state data information at the object, wherein the preset operation may include one or more of the following: Execution monitoring, manual supervision, manual sales, etc.

In an optional implementation of this embodiment, the step S702, that is, the step of performing a preset operation according to the abnormal state data information at the object, includes the steps of:

When it is determined that the abnormal state data information at the storage place satisfies the preset condition, for example, when the total amount of abnormal items is greater than the preset quantity threshold or the number of types of abnormal items is greater than the preset category threshold, the preset is performed for the storage place. operate.

In this embodiment, when it is determined that the abnormal state data information of the storage place satisfies the preset condition, it can be considered that a serious cargo damage has occurred in the storage place, and then the storage place is monitored, manually supervised, or manually monitored. Sales and other measures to control the damage to the goods and avoid more serious damage to the goods.

It should be noted that the technical solutions of the embodiments of the present invention are not limited to the application in the unmanned vending industry, and can still be effectively implemented in conventional supermarkets, stores and other human vending environments.

The following are device embodiments of the present invention, which can be used to implement the method embodiments of the present invention.

Fig. 8 shows a structural block diagram of a data acquisition device according to an embodiment of the present invention, the device can be implemented as part or all of electronic equipment through software, hardware or a combination of the two, and the data acquisition device can be implemented as a smart vending machine It can also be implemented as a server-side. As shown in Figure 8, the data acquisition device includes:

The obtaining module 801 is configured to obtain the current image of the storage place and the preset first item information of the storage place;

The identification module 802 is configured to identify the current image and determine the second item information at the storage place;

The determining module 803 is configured to acquire historical information corresponding to the storage place, and determine abnormal data information according to the first item information, the second item information, and the historical information.

As mentioned above, with the development of Internet technology and the advancement of science and technology, in order to facilitate people's use, unmanned supermarkets, unmanned vending machines, and unmanned shelves have emerged as the times require to realize completely independent shopping. However, since there is no one in the unmanned sales environment and no one supervises the purchase behavior of users, there will often be a reduction in goods other than purchase behavior, which will lead to business losses for merchants. For the unmanned vending industry, cargo damage is an indispensable core data for business operations, one of the most important parameters for evaluating the quality of point-of-sale operations, and an important basis for point-of-sale operation strategy decisions. At present, the control of cargo damage data mainly relies on periodic manual inventory, but this method takes a long time, has poor real-time performance, and has high labor costs.

Considering the above defects, in this embodiment, a data acquisition device is proposed, which acquires the current image of the storage place and the preset item information of the storage place through the acquisition module 801; identifies the current image through the identification module 802, and determines The current item information at the storage place; the history information corresponding to the storage place is obtained through the determining module 803, and the abnormal data information is determined according to the first item information, the second item information, and the historical information. This technical solution automatically determines the abnormal data information of the storage place by comparing the current item information and preset item information of the storage place with the corresponding historical information of the storage place, which can greatly reduce the cost of manpower input, improve the efficiency of data statistics, and effectively Support the large-scale development of the unmanned vending industry.

Wherein, the storage place may be a storage space where vending machines, vending machines, shelves, etc. can place vendable items. The above is only an exemplary description, and the embodiment of the present invention does not specifically limit the specific implementation form of the storage place.

In an optional implementation of this embodiment, the current image of the storage place can be acquired at preset time intervals through an image acquisition device such as a camera placed near the storage place, or the current image of the storage place can be collected manually in a manual manner. For the current image, the embodiment of the present invention does not specifically limit the specific manner of acquiring the current image of the storage place.

In an optional implementation of this embodiment, after the current image of the storage place is obtained, the current information of the items placed in the storage place can be obtained by means of image target recognition technology, that is, the second item information of the storage place, Wherein, the second item information includes current quantity information, current category information and the like of the item. For example, through target feature extraction, matching, and analysis to identify whether there is one or several items in the current image, the quantity of each item, and the respective pixel positions in the image, etc., and then pass the image pixel position Corresponding to the actual position, information such as the current quantity information and current category information of the items placed in the storage space can be obtained. When the current image is a depth image, the specific quantity of the current item can be directly identified, and the depth image refers to an image containing information about the distance from the surface of the scene object of the viewpoint, and its pixel value is the same as that of the image acquisition device There is a corresponding relationship between the actual distance from the captured image object, that is, the distance information between the captured image object and the image capture device can be known through the depth image. Therefore, with the help of the current depth image including the distance information, the specific current quantity of the items corresponding to the preset position of the storage place can be determined. When the current image is a normal image, it can be identified whether the number of items corresponding to the preset position is 0.

In an optional implementation manner of this embodiment, the first item information preset at the storage place is item information with a preset number placed at a preset position of the storage place, and at least two preset items may be set at the storage place. The preset positions are respectively placed with a preset number of items. Wherein, the first item information may be a preset item image, or a list of preset items, wherein the preset item image may be a preset image, or it may be understood as A standard image for placing items in the storage place. In this image, a preset number of specific items are respectively placed at the preset positions of the storage place. When actually selling, they are placed at the corresponding positions of the storage place according to the preset image of the items Corresponding items, in order to compare the quantity of subsequent items, of course, the items placed at different preset positions can be the same or different; wherein, the list of preset items can include one or more preset positions where preset items are placed , the category and quantity of preset items placed in each preset position, or information about different positions where a certain type of preset items are placed, and the quantities of the items placed in each position, etc.

For example, if there are 4 preset positions in the storage place, which are respectively preset position 1, preset position 2, preset position 3 and preset position 4, there are 4 kinds of preset items placed, which are respectively preset item 1, preset item 2, preset item 3, and preset item 4, then when the preset item information is a preset item image, the first number of preset item 1 can be placed in the image at preset position 1, and the preset position The second number of preset items 2 is placed at 2, the third number of preset items 3 is placed at preset position 3, the fourth number of preset items 4 is placed at preset position 4, or, at preset position 1 The first number of preset items 1 is placed, the second number of preset items 2 and the third number of preset items 3 are placed at the preset position 2, and the fourth number of preset items 3 is placed at the preset position 3. Assume that the fifth quantity of preset items 4 is placed at position 4, and of course other items can also be placed; when the preset item information is a list of preset items, the list of preset items can be presented as:

Can also be rendered as:

display content Location quantity Default item 1 Preset position 1 first quantity Preset position 2 second quantity Default item 2 Preset position 2 third quantity Default item 3 Preset position 3 fourth quantity Preset position 4 fifth quantity Default Item 4 Preset position 4 sixth number

In an optional implementation of this embodiment, the historical information corresponding to the storage place includes: the initial quantity of items placed, the historical supplementary data of the items in the preset historical time period, the historical sales data of the items in the preset historical time period, and the item cost price data, etc. Wherein, the initial quantity of items placed can represent the initial quantity of items initially placed in the storage place. In order to reduce the amount of data storage, the historical information of the items can also be updated every once in a while, such as the end time of the previous abnormal data calculation As the initial time of the next statistical time period, at this time, the initial placement quantity can refer to an update time period, or the number of items placed in the storage place at the initial time of a preset historical time period; the item cost The price data can refer to the item purchase cost price data, and can also refer to the item sales price data, which can be determined according to the needs of practical applications, and the present invention does not specifically limit it; the item historical supplementary data refers to a preset Set historical time period, such as item supplementary data in the historical time period from the current time to the previous abnormal data calculation time; the item historical sales data refers to a preset historical time period, such as from the current time Item sales data in the historical time period up to the time when the previous exception data was calculated.

Wherein, the abnormal data information refers to data other than normal item flow data such as normal sales and normal damage, for example, item quantity reduction data caused by non-sales behavior, abnormal damage data, etc., which can also be collectively referred to as cargo damage. data. The abnormal data information can be obtained by comparing the item attribute information. For example, after knowing the purchase quantity, sales quantity and existing quantity of a certain commodity, the sum of the sales quantity and the existing quantity can be compared with the purchase quantity , combined with the selling price of the commodity to get.

In an optional implementation of this embodiment, as shown in FIG. 9, the determining module 803 includes:

The first determining submodule 901 is configured to determine third attribute information of the item at the storage place according to the first item information and the second item information;

The second determination sub-module 902 is configured to obtain historical information corresponding to the storage place, and determine abnormal data information according to the historical information and the third attribute information.

Considering that regardless of whether the current item information at the storage place is consistent with the preset item information, one or several items may be damaged. For example, if the current item information at the storage place is inconsistent with the preset item information, it may be due to The item information is different due to normal sales, or the item information may be different due to damage; The goods are damaged during the sales process, but the current item information happens to be consistent with the preset item information. Therefore, in this implementation, it is necessary to determine the third attribute information of the items in the storage place according to the first item information and the second item information, wherein the third attribute information includes the quantity information of all items placed in the storage place , category information and other information, and then compare it with the historical information of the item corresponding to the storage place to determine the abnormal data information.

In an optional implementation of this embodiment, in order to quickly estimate and obtain the abnormal data information at the storage place, considering that items whose current item information is inconsistent with the preset item information are more likely to be damaged, the current item information can be Items that are inconsistent with the preset item information are used as target items, and then the abnormal data information is estimated for the target items.

In this implementation, as shown in FIG. 10, the determining module 803 includes:

The third determining submodule 1001 is configured to determine the target item in the current image and fourth attribute information of the target item according to the first item information and the second item information;

The fourth determination sub-module 1002 is configured to obtain historical information corresponding to the target item, and determine abnormal data information of the target item according to the historical information of the target item and the fourth attribute information.

In this implementation, the target item whose current item information in the current image is inconsistent with the preset item information is determined according to the current first item information and the preset second item information, and the fourth attribute information of the target item is acquired , wherein the fourth attribute information includes information such as quantity information and category information of the target item, and then compares the fourth attribute information of the target item with the historical information of the target item to determine the abnormal data information of the target item, as Estimation of abnormal data information at the storage place. This embodiment can improve the calculation speed of the estimated value and save calculation time while ensuring the accuracy of the estimation.

Wherein, the target item may be, for example, an item in short supply, etc., and those skilled in the art may set the target item according to actual application requirements.

In an optional implementation manner of this embodiment, at least two preset positions are set at the storage place, and a preset number of items are placed in the preset positions. When a similar item is placed at a certain preset position, the number of items at the corresponding position can be directly compared to determine the target item. For example, for the preset position 1, it is assumed that there are currently 3 items placed at the preset position 1 Item 1, and the preset quantity of the item at the preset position 1 is 6, and the current quantity 3 of the item 1 is less than the preset quantity 6, then the item is considered to be an item with a shortage in quantity, that is, the target item.

In this implementation, as shown in FIG. 11, the third determination submodule 1001 includes:

The fifth determining submodule 1101 is configured to determine the first attribute information of the preset item corresponding to the preset position according to the first item information;

The sixth determining submodule 1102 is configured to determine the second attribute information of the item in the storage place corresponding to the preset position according to the second item information;

The seventh determining submodule 1103 is configured to compare the first attribute information with the second attribute information, and determine the target item and fourth attribute information of the target item.

Wherein, the first attribute information includes information such as quantity information and category information of preset items, and the second attribute information includes information such as current quantity information and category information of items at the storage place.

In this implementation, by comparing the first attribute information of the preset item placed at the preset position with the second attribute information of the current item placed at the corresponding preset position, it can be determined which items have inconsistent attribute information, Furthermore, it can be determined which items are the target items. After the target item is determined, in order to further determine whether the target item is indeed an item with cargo damage, the fourth attribute information of the target item should also be obtained, wherein the The fourth attribute information includes information such as quantity information and category information of the target item.

Considering that in some application scenarios, it is possible to place items of the same type in multiple different locations, or different types of items placed in the same location, or the types of items placed in each location change randomly and are not fixed. Therefore, in this In an optional implementation manner of the embodiment, the position of each item in the storage place does not need to be preset. For example, the preset item information may be expressed as:

display content quantity Default item 1 first quantity Default item 2 second quantity Default item 3 third quantity Default Item 4 fourth quantity

That is to say, a certain preset position of the storage place may place items of the same type, or different types of items, that is, a certain type of item may be placed in the same preset position, or may be placed in different preset positions. position, at this time, the summary quantity of a certain type of item can be directly counted, and then compared with the preset quantity of this type of item to determine the target item, for example, for item 1, there is one at preset position 1, There are 3 at the preset position 2, then the total quantity of item 1 placed in the storage is 4, and the preset quantity of item 1 placed in the storage is 6, the current quantity of item 1 is 4 less than the preset quantity of 6, The item is then considered to be an item in which there is a shortage in quantity, the target item.

In this implementation, as shown in FIG. 12, the third determining submodule 1001 includes:

The eighth determining submodule 1201 is configured to determine fifth attribute information of a preset item according to the first item information;

The ninth determination submodule 1202 is configured to determine sixth attribute information of the item in the storage place according to the second item information;

The tenth determining submodule 1203 is configured to compare the fifth attribute information with the sixth attribute information, and determine the target item and fourth attribute information of the target item.

Wherein, the fifth attribute information includes information such as quantity information and category information of preset items, and the sixth attribute information includes information such as current quantity information and category information of items at the storage place. In this embodiment, since the position of the preset item placed in the storage place does not need to be preset, the sixth attribute information of the item placed in the storage place in the current image can be directly identified, such as the category of the item and the corresponding The number of items, wherein, the identification method of the item attribute information is as described above, and will not be repeated here; then the sixth attribute information of the same item category is compared with the fifth attribute information of the preset item, and by judging the current item quantity Determine which items are the target items if it is less than the preset number of items. After the target item is determined, in order to further determine whether the target item is indeed an item with cargo damage, the fourth attribute information of the target item should also be obtained. , wherein the fourth attribute information includes information such as quantity information and category information of the target item. As mentioned above, when the current number of items of the same item category is less than the preset number of items, it can be considered as the target item. In actual implementation, considering that the above-mentioned difference in quantity may be caused by normal sales behavior, therefore, In order to reduce the amount of calculation and the calculation error, a quantity threshold can also be set, and when the difference between the current quantity of items of the same category and the preset quantity of items is greater than the quantity threshold, it is considered as the target item.

The above scheme can accurately and quickly determine the target items that meet the preset conditions through the comparison of attribute information, such as items in short supply. In addition, the scheme can automatically perform identification work with the help of computing tools, which can effectively save labor costs, improve work efficiency and recognition accuracy.

In an optional implementation of this embodiment, as shown in FIG. 13 , the determining module 803 includes:

The calculation submodule 1301 is configured to calculate the abnormal quantity of items in the storage place according to the first item information, the second item information and the historical information;

The eleventh determining submodule 1302 is configured to determine the abnormal data information according to the cost price data and the abnormal quantity.

As mentioned above, the abnormal data information refers to data other than normal item flow data such as normal sales and normal damage, such as data on item quantity reduction caused by non-sales behavior, abnormal damage data, etc. Collectively referred to as cargo damage data. The abnormal data information can be obtained by comparing the item attribute information. For example, after knowing the purchase quantity, sales quantity and existing quantity of a certain commodity, the sum of the sales quantity and the existing quantity can be compared with the purchase quantity , combined with the selling price of the commodity to get.

In this embodiment, after obtaining the historical information corresponding to the storage place, the abnormal number of items in the storage place is calculated according to the first item information, the second item information and the historical information, for example, The following formula can be used to calculate the abnormal number of items in the storage place:

The abnormal number of items in the storage place = the initial placement data of the item + the historical supplementary data of the item in the preset historical time period - the current placement data of the item - the historical sales data of the item in the preset historical time period.

Then, according to the cost price data and abnormal quantity of the item, the abnormal data information of the item can be determined. For example, by multiplying the cost price data of the item by its abnormal quantity, the abnormal data information of the item can be obtained, that is, the damage data of the item.

In an optional implementation of this embodiment, as shown in FIG. 14, the device further includes:

The integration module 1401 is configured to integrate the abnormal data information to obtain the abnormal state data information at the storage place;

The execution module 1402 is configured to execute a preset operation according to the abnormal state data information at the object.

In this embodiment, considering that there may be two or more abnormal items in a storage place, for example, there are two or more items that are in short supply, therefore, the abnormal data of the items in short supply at the storage place can be The information is integrated and counted to obtain the abnormal state data information at the storage place. For example, the abnormal quantities of different types of items in short supply can be added, or the abnormal state data information of different quantities of insufficient items can be integrated and counted into a single quantity shortage In the item list, to grasp the overall quantity shortage of the storage place.

Further, after obtaining the abnormal state data information at the object, a preset operation may be performed according to the abnormal state data information at the object, wherein the preset operation may include one or more of the following: Execution monitoring, manual supervision, manual sales, etc.

In an optional implementation manner of this embodiment, the executing module 1402 is configured to:

When it is determined that the abnormal state data information at the storage place satisfies the preset condition, for example, when the total amount of abnormal items is greater than the preset quantity threshold or the number of types of abnormal items is greater than the preset category threshold, the preset is performed for the storage place. operate.

In this embodiment, when it is determined that the abnormal state data information of the storage place satisfies the preset condition, it can be considered that a serious cargo damage has occurred in the storage place, and then the storage place is monitored, manually supervised, or manually monitored. Sales and other measures to control the damage to the goods and avoid more serious damage to the goods.

It should be noted that the technical solutions of the embodiments of the present invention are not limited to the application in the unmanned vending industry, and can still be effectively implemented in conventional supermarkets, stores and other human vending environments. The embodiment of the present invention also discloses an electronic device. FIG. 15 shows a structural block diagram of an electronic device according to an embodiment of the present invention. As shown in FIG. 15 , the electronic device 1500 includes a memory 1501 and a processor 1502; wherein,

The memory 1501 is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 1502 to implement any of the above method steps.

Fig. 16 is a structural schematic diagram of a computer system suitable for realizing the data acquisition method according to the embodiment of the present invention.

As shown in FIG. 16 , a computer system 1600 includes a central processing unit (CPU) 1601, which can operate according to a program stored in a read-only memory (ROM) 1602 or a program loaded from a storage section 1608 into a random access memory (RAM) 1603 Instead, various processes in the above-described embodiments are executed. In the RAM 1603, various programs and data necessary for the operation of the system 1600 are also stored. The CPU 1601 , ROM 1602 , and RAM 1603 are connected to each other via a bus 1604 . An input/output (I/O) interface 1605 is also connected to the bus 1604 .

The following components are connected to the I/O interface 1605: an input section 1606 including a keyboard, a mouse, etc.; an output section 1607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 1608 including a hard disk, etc. and a communication section 1609 including a network interface card such as a LAN card, a modem, or the like. The communication section 1609 performs communication processing via a network such as the Internet. A drive 1610 is also connected to the I/O interface 1605 as needed. A removable medium 1611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 1610 as necessary so that a computer program read therefrom is installed into the storage section 1608 as necessary.

In particular, according to an embodiment of the present invention, the methods described above may be implemented as a computer software program. For example, embodiments of the present invention include a computer program product comprising a computer program tangibly embodied on a medium readable therefrom, the computer program comprising program code for performing the data acquisition method. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 1609 and/or installed from removable media 1611 .

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a roadmap or block diagram may represent a module, program segment, or part of code that contains one or more Executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units or modules involved in the embodiments of the present invention may be implemented by software or by hardware. The described units or modules may also be set in the processor, and the names of these units or modules do not constitute limitations on the units or modules themselves in some cases.

As another aspect, an embodiment of the present invention also provides a computer-readable storage medium, which may be the computer-readable storage medium contained in the device described in the above implementation manner; or may exist independently , a computer-readable storage medium not incorporated into a device. The computer-readable storage medium stores one or more programs, and the programs are used by one or more processors to execute the methods described in the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention and an illustration of the applied technical principle. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the above-mentioned Other technical solutions formed by any combination of technical features or equivalent features. For example, a technical solution formed by replacing the above-mentioned features with technical features with similar functions disclosed in (but not limited to) the embodiments of the present invention.

Claims (10)

1. A method of data acquisition, comprising:

acquiring a current image of a placement position and first article information preset in the placement position;

identifying the current image and determining second article information of the article placement position;

and acquiring historical information corresponding to the placement position, and determining abnormal data information according to the first article information, the second article information and the historical information.

2. The method according to claim 1, wherein the obtaining of the history information corresponding to the placement location and the determining of the abnormal data information according to the first item information, the second item information and the history information comprise:

determining third attribute information of the article at the placement position according to the first article information and the second article information;

and acquiring historical information corresponding to the object placing position, and determining abnormal data information according to the historical information and the third attribute information.

3. The method according to claim 1, wherein the obtaining of the history information corresponding to the placement location and the determining of the abnormal data information according to the first item information, the second item information and the history information comprise:

determining a target object in the current image and fourth attribute information of the target object according to the first object information and the second object information;

acquiring historical information corresponding to the target object, and determining abnormal data information of the target object according to the historical information of the target object and the fourth attribute information.

4. The method of any of claims 1-3, wherein the historical information comprises: the initial placement number, historical supplementary data in a preset historical time period, historical sales data and cost price data in the preset historical time period;

the determining abnormal data information according to the first item information, the second item information and the history information includes:

calculating the abnormal quantity of the articles at the placement position according to the first article information, the second article information and the historical information;

and determining the abnormal data information according to the cost price data and the abnormal quantity.

5. A data acquisition apparatus, comprising:

the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is configured to acquire a current image of a storage place and first item information preset by the storage place;

the identification module is configured to identify the current image and determine second item information of the object;

the determining module is configured to acquire historical information corresponding to the placement position and determine abnormal data information according to the first item information, the second item information and the historical information.

6. The apparatus of claim 5, wherein the determining module comprises:

a first determining sub-module configured to determine third attribute information of the item at the placement according to the first item information and the second item information;

and the second determining submodule is configured to acquire historical information corresponding to the placement position and determine abnormal data information according to the historical information and the third attribute information.

7. The apparatus of claim 5, wherein the determining module comprises:

a third determining sub-module configured to determine a target item in the current image and fourth attribute information of the target item according to the first item information and the second item information;

the fourth determining submodule is configured to acquire history information corresponding to the target object and determine abnormal data information of the target object according to the history information of the target object and the fourth attribute information.

8. The apparatus of any of claims 5-7, wherein the historical information comprises: the initial placement number, historical supplementary data in a preset historical time period, historical sales data and cost price data in the preset historical time period;

the determining module comprises:

the calculating submodule is configured to calculate the abnormal number of the articles at the placement position according to the first article information, the second article information and the historical information;

an eleventh determining sub-module configured to determine the anomaly data information according to the cost price data and the anomaly number.

9. An electronic device comprising a memory and a processor; wherein,

the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of any of claims 1-4.

10. A computer-readable storage medium having stored thereon computer instructions, characterized in that the computer instructions, when executed by a processor, carry out the method steps of any of claims 1-4.