CN111243325A - Parking multidimensional sensing investigation method and device, storage medium and terminal - Google Patents
Parking multidimensional sensing investigation method and device, storage medium and terminal Download PDFInfo
- Publication number
- CN111243325A CN111243325A CN202010038136.7A CN202010038136A CN111243325A CN 111243325 A CN111243325 A CN 111243325A CN 202010038136 A CN202010038136 A CN 202010038136A CN 111243325 A CN111243325 A CN 111243325A
- Authority
- CN
- China
- Prior art keywords
- parking
- vehicle
- face image
- information
- license plate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Library & Information Science (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the application discloses a parking multidimensional sensing investigation method, a parking multidimensional sensing investigation device, a storage medium and a terminal, and belongs to the technical field of computers. The method is applied to the car searching terminal, when the car searching terminal receives a car searching request, the first camera acquires a face image of a car searching person, a corresponding first license plate number is inquired in a database according to the face image of the car searching person, first parking position information related to the first license plate number is acquired, the first parking position information is displayed through the display unit, and the car searching person can search the car pointedly and quickly according to the first parking position information.
Description
Technical Field
The application relates to the technical field of computers, in particular to a parking multidimensional sensing investigation method, device, storage medium and terminal.
Background
With the progress of scientific technology and the development of society, the development technology of automobiles is more and more mature, the quantity of automobile ownership is doubled year by year, and more people can enjoy the comfort and convenience brought by automobiles. In the related art, due to the increase of the number of automobiles, more parking spaces are provided for people, the scale of a parking lot in a public place is designed to be larger and larger, the parking requirements of people are met, and the difficulty of searching vehicles is increased.
Disclosure of Invention
The embodiment of the application provides a parking multidimensional sensing investigation method, a parking multidimensional sensing investigation device, a storage medium and a terminal, and can solve the problem that people are difficult to find a vehicle in a large-scale parking lot. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a parking multidimensional sensing and detection method, where the method includes:
when a car searching request is received, acquiring a face image of a car searching person through a first camera;
inquiring a corresponding first license plate number in a database according to the face image of the person seeking person, and acquiring first parking position information associated with the first license plate number;
and displaying the first parking position information through a display unit.
In a second aspect, the present application provides a parking multidimensional sensing and detecting device, where the device further includes:
the acquisition module is used for acquiring a face image of a car searching person through the first camera when a car searching request is received;
the acquisition module is used for inquiring a corresponding first license plate number in a database according to the face image of the person seeking person and acquiring first parking position information related to the first license plate number;
and the display module is used for displaying the first parking position information through a display unit.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides a terminal, including: a processor, a memory and a display screen; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
when the scheme of the embodiment of the application is executed, when the car searching terminal receives a car searching request, the first camera acquires the face image of a car searching person, the corresponding first license plate number is inquired in the database according to the face image of the car searching person, the first parking position information related to the first license plate number is acquired, the first parking position information is displayed through the display unit, and the car searching person can search the car in a targeted and rapid mode according to the first parking position information.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a parking multidimensional sensing and detecting system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a parking multidimensional sensing and detecting method provided by an embodiment of the present application;
fig. 3 is another schematic flow chart of a parking multidimensional sensing and detecting method provided by an embodiment of the present application;
fig. 4 is a schematic display interface diagram of a car finding terminal provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a parking multidimensional sensing and detecting device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Please refer to fig. 1, which shows a schematic diagram of a parking multidimensional sensing and detecting system according to an embodiment of the present application. As shown in fig. 1, the system may include a mobile terminal 101, a car-finding terminal 102, and a camera 103.
The camera 103 is arranged in the parking lot and is used for collecting a parking image of a vehicle driving into the parking lot and a user image of a driver, uploading the collected image information to the vehicle searching terminal 102, and storing the image information into an internal database after the vehicle searching terminal 102 performs corresponding processing on the image information. The car searching terminal 102 is provided with an internal camera, the camera can collect the face image of a car searching person, the collected face image of the car searching person is compared with a database in the car searching terminal 102, and whether the collected face image of the car searching person is the face image stored in the database is analyzed; if the face image is stored in the database, further searching the vehicle information related to the face image, and if the face image is not stored in the database, prompting the vehicle seeking person to search by adopting a mode of inputting a license plate number. After the vehicle searching terminal 102 finds the vehicle information corresponding to the vehicle searching person, the vehicle searching person can scan the two-dimensional code containing the vehicle information on the vehicle searching terminal 102 through the mobile terminal 101, so that the mobile terminal 101 and the vehicle searching terminal 102 are connected, and the vehicle searching person can obtain a specific vehicle searching navigation line through the mobile terminal 101 through the connection. The cameras 103 are disposed at various places of the parking lot to cover all corners of the parking lot, and the parking image of the vehicle after entering the parking lot and the user image of the driver are also collected by the plurality of cameras 103, so the number of the cameras 103 is not particularly limited,
the mobile terminal 101 and the car-finding terminal 102 may be hardware or software. When the mobile terminal 101 is hardware, it may be various electronic devices having a display screen and a camera, including but not limited to a smart phone, a tablet computer, etc.; when the mobile terminal 101 is software, it may be installed in the electronic device listed above and may be implemented as multiple software or software modules, or may be implemented as a single software or software module, and is not limited in this respect. When the car-searching terminal 102 is hardware, it can be various electronic devices with a display screen and a camera; when the car-searching terminal 102 is software, it may be installed in the electronic device and may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, and is not limited in this respect.
The parking multidimensional sensing and detecting method provided by the embodiment of the application will be described in detail below with reference to fig. 2 to 4.
Referring to fig. 2, a flowchart of a parking multidimensional sensing detection method is provided in an embodiment of the present application. The present embodiment is exemplified by applying the parking multidimensional sensing and detecting method to the car searching terminal. The parking multidimensional sensing detection method can comprise the following steps:
s201, when a vehicle searching request is received, a first camera is used for collecting a face image of a vehicle searching person.
The vehicle searching request refers to vehicle searching indication information generated when the vehicle searching terminal detects that a vehicle searching person executes vehicle searching operation.
Generally, when a car searching terminal receives a car searching request, a first camera is started to collect a face image of a car searching person, and the face image of the car searching person can be directly obtained by instant photographing or can be obtained by collecting a section of video and analyzing the video data to dynamically position a face contour, so that a comprehensive face image is obtained.
S202, inquiring a corresponding first license plate number in a database according to the face image of the person seeking person, and acquiring first parking position information associated with the first license plate number.
The database is a warehouse capable of storing data, and can store external data collected by the vehicle searching terminal. The first license plate number refers to a license plate number bound with the collected face image in the database, the first parking position information refers to parking position information bound with the first license plate number in the database, and the first license plate number and the first parking position information are collected by another camera after the vehicle drives into the parking space.
Generally, after a car searching terminal starts a first camera to acquire a face image of a car searching person, analyzing and calculating the similarity between the face image of the car searching person and a plurality of registered face images stored in a database, and judging whether a target face image matched with the face image of the car searching person can be found from the plurality of registered face images; if so, inquiring a first license plate number associated with the target face image, and searching first parking position information corresponding to the first license plate number in a database according to the first license plate number; if not, displaying an information input box through the display unit, wherein the information input box is used for prompting a user to input the license plate number, and searching second parking position information associated with the second license plate number when detecting that the user inputs the second license plate number in the information input box.
And S203, displaying the first parking position information through the display unit.
The display unit is a module for providing a viewing interface for a vehicle seeker, and can be a liquid crystal screen, an electronic ink screen and the like.
Generally, after the vehicle searching terminal searches the first parking position information of the vehicle corresponding to the face image of the vehicle searching person from the database, the obtained first parking position information can be displayed through a display unit (such as a liquid crystal display) on the vehicle searching terminal, a vehicle searching person is prompted to go to a specific position to search for the vehicle, and the vehicle searching person can conveniently and quickly find the vehicle.
Generally, when the vehicle searching terminal does not search the first parking position information of the vehicle corresponding to the face image of the vehicle searching person from the database, the parking position information of the vehicle corresponding to the license plate number can be searched in a mode that the vehicle searching person inputs the license plate number to be searched in an information input frame on the vehicle searching terminal so as to obtain second parking position information, and after the second parking position information is found, the second parking position information can be displayed through a display unit on the vehicle searching terminal so as to prompt the vehicle searching person to go to a specific position to search for the vehicle, so that the vehicle searching person can quickly find the vehicle.
According to the parking multidimensional sensing detection method, when a car seeking terminal receives a car seeking request, a first camera is used for collecting a face image of a car seeking person, a corresponding first license plate number is inquired in a database according to the face image of the car seeking person, first parking position information related to the first license plate number is obtained, the first parking position information is displayed through a display unit, and the car seeking person can seek a car in a targeted and rapid mode according to the first parking position information.
Referring to fig. 3, another schematic flow chart of a parking multidimensional sensing and detecting method is provided in the embodiment of the present application. The present embodiment is exemplified by applying the parking multidimensional sensing and detecting method to the car searching terminal. The parking multidimensional sensing detection method can comprise the following steps:
s301, when it is detected that the vehicle enters the parking space, a parking image of the vehicle in the parking space and a user image of a driver are collected through a second camera.
The parking image is an image of the vehicle after the vehicle drives into the parking space and acquired by the camera, and the license plate number and the specific parking position of the vehicle can be acquired by analyzing the parking image. The user images refer to the whole body images of the driver collected by the camera after the driver drives the vehicle into the parking space, the number of the collected user images can be multiple, and the face image information, the height information, the sex information, the dressing information and the like of the driver can be obtained by analyzing the user images.
Generally, a second camera is used for acquiring a video of a vehicle driving into a parking space so as to determine that the vehicle has entered the parking space, and a parking image of the vehicle on the parking space is acquired by the second camera, and simultaneously, a user image of a driver is acquired. The parking image of accessible analysis vehicle on the parking stall confirms car driver's identity, and then confirms the target user who needs the tracking, continues to gather many this target user's user image through the camera, if: images of the target user on the vehicle, images of the target user after alighting, and the like.
S302, determining first parking position information and a first license plate number of the vehicle according to the parking image.
The first license plate number refers to a license plate number bound with the collected face image in the database, the first parking position information refers to parking position information bound with the first license plate number in the database, and the first license plate number and the first parking position information are collected by the second camera after the vehicle drives into the parking space.
Generally, after a parking image of a vehicle in a parking space is acquired through a second camera, license plate number information of the vehicle can be determined by analyzing the parking image, meanwhile, a vehicle searching terminal can acquire an installation position of the parking space where the second camera acquiring the parking image is located, and a specific parking position of the vehicle in the parking space can be determined according to the installation position of the second camera and the parking image acquired by the second camera.
And S303, analyzing the user image to acquire a face image of the driver.
The user images are full-body images of the driver collected through the camera after the driver drives the vehicle into the parking space, the number of the collected user images can be multiple, and the face image information, the height information, the gender information, the dressing information and the like of the driver can be obtained by analyzing the user images.
Generally, after the second camera collects the parking image of the vehicle on the parking space, the identity of the driver on the vehicle can be determined by analyzing the parking image of the vehicle on the parking space, so as to determine the target user to be tracked, and the second camera continues to collect the user images of a plurality of target users, for example: the images of the target user on the vehicle, the images of the target user after getting off the vehicle and the like can be analyzed to obtain the face image of the driver.
S304, the face image of the driver, the first parking position information and the first license plate number are bound and then stored in a database.
Generally, after a parking image of a vehicle in a parking space and a user image of a driver are acquired through a second camera, the parking image of the vehicle in the parking space and the user image of the driver are analyzed to obtain a face image, first parking position information and a first license plate number of the driver, the face image, the first parking position information and the first license plate number of the driver all belong to identity information, and the face image, the first parking position information and the first license plate number of the driver can be stored in the same information unit in a database to finish information binding. Under the condition that one of the face image, the first parking position information and the first license plate number of the driver is known in the follow-up process, the other two kinds of information can be obtained through the vehicle searching terminal.
S305, analyzing the user image of the driver to acquire the height information, the sex information and the dressing information of the driver.
Generally, the user image of the driver is obtained by the whole body images of the multiple drivers collected by the second camera, such as: the image of the driver on the vehicle, the image of the driver after getting off the vehicle and the like are obtained, the user image contains the whole body information of the driver, the height information, the sex information, the dressing information and the like of the driver can be obtained by analyzing the user image, and the information can be used as the basis for searching the vehicle related to the vehicle searching person by the vehicle searching terminal when the vehicle searching person performs the vehicle searching operation on the vehicle searching terminal.
And S306, binding the height information, the gender information, the wearing information and the face image information of the driver and then storing the binding information and the face image information into a database.
Generally, the height information, the gender information and the dressing information of a driver can be acquired by analyzing a user image of the driver, the height information, the gender information and the dressing information of the driver can be used as the basis for searching a vehicle related to the vehicle seeker when the vehicle seeker performs a vehicle searching operation on a vehicle searching terminal, the height information, the gender information and the dressing information of the driver can be stored in the same information unit stored in the database for storing the face image, the first parking position information and the first license plate number of the driver, the information binding is completed, and more detailed data are provided for the subsequent vehicle seeking of the vehicle seeker.
And S307, when the vehicle searching request is received, acquiring a face image of a vehicle searching person through the first camera.
The vehicle searching request refers to vehicle searching indication information generated when the vehicle searching terminal detects that a vehicle searching person executes vehicle searching operation.
Generally, when a car searching terminal receives a car searching request, a first camera is started to collect a face image of a car searching person, and the face image of the car searching person can be directly obtained by instant photographing or can be obtained by collecting a section of video and analyzing the video data to dynamically position a face contour, so that a comprehensive face image is obtained.
S308, calculating the similarity between the face image of the person seeking and a plurality of registered face images stored in the database.
The registered face image refers to the face images of all drivers who follow vehicles and enter the parking lot, wherein the face images are stored in a database and collected by the vehicle searching terminal.
Generally, a plurality of registered face images are stored in a database, and after the face image of a vehicle seeker is collected, whether the vehicle seeker is parked in the parking lot or not and whether the vehicle seeker can correspond to vehicle information in the parking lot or not can be judged in a mode of calculating the similarity between the face image of the vehicle seeker and the plurality of registered face images.
For example, the following steps are carried out: referring to the similarity analysis in table 1, the current face image is the face image of the person seeking person collected by the first camera, which is denoted by M in table 1, the existing registered face images in the database of the car seeking terminal are A, B, C, D, E respectively, the similarity between the current face M and the registered face image A, B, C, D, E is calculated respectively, and the analysis shows that: the similarity between the current face M and the registered face image a is 3%, the similarity between the current face M and the registered face image B is 85%, the similarity between the current face M and the registered face image C is 35%, the similarity between the current face M and the registered face image D is 5%, and the similarity between the current face M and the registered face image E is 25%.
TABLE 1
S309, it is determined whether a target face image matching the face image of the vehicle finder can be found from the plurality of registered face images.
The registered face image refers to the face images of all drivers who follow vehicles and enter the parking lot, wherein the face images are stored in a database and collected by the vehicle searching terminal. The target face image is a registered face image with the similarity, greater than the preset similarity, of the face image of the car seeker acquired through the first camera.
Generally, after calculating the similarity between a face image of a person seeking a car and a plurality of registered face images in a database, judging whether a registered face image with the similarity larger than a preset similarity with the face image of the person seeking the car exists in the database or not; if the registered face image exists, the registered face image is determined to be a target face image, and corresponding vehicle information can be searched through the target face image; if not, the search may fail due to interference of external factors on the acquisition of the face image, or the vehicle of the person searching the car is not stored in the parking lot.
For example, the following steps are carried out: referring to the similarity analysis in table 1, the current face image is the face image of the vehicle seeker acquired by the first camera, and the similarity between the current face M and the registered face image A, B, C, D, E is calculated respectively to know: the similarity between the current face M and the registered face image a is 3%, the similarity between the current face M and the registered face image B is 85%, the similarity between the current face M and the registered face image C is 35%, the similarity between the current face M and the registered face image D is 5%, and the similarity between the current face M and the registered face image E is 25%; when the similarity between the current face and the registered face image in the database is greater than 80%, the registered face image can be determined as the target face image, so that the registered face image B in the registered face images in the database can be determined as the target face image.
S310, inquiring a first license plate number associated with the target face image.
Generally, vehicle information associated with a registered face image is stored in a database of a vehicle searching terminal, and after a target face image matched with a face image of a person to be searched is determined from a plurality of registered face images, a first license plate number associated with the target face image can be inquired through the target face image.
S311, obtaining first parking position information associated with the first license plate number.
Generally, after a first license plate number associated with a target face image is queried, since the first license plate number and first parking position information are simultaneously bound in a database, the first parking position information associated with the first license plate number can be further queried from the database through the first license plate number.
S312, displaying the first parking position information through the display unit.
The display unit is a module for providing a viewing interface for a vehicle seeker, and can be a liquid crystal screen, an electronic ink screen and the like.
Generally, after the vehicle searching terminal searches the first parking position information of the vehicle corresponding to the face image of the vehicle searching person from the database, the obtained first parking position information can be displayed through a display unit (such as a liquid crystal display) on the vehicle searching terminal, a vehicle searching person is prompted to go to a specific position to search for the vehicle, and the vehicle searching person can conveniently and quickly find the vehicle.
And S313, displaying the information input box through the display unit when the first license plate number is not inquired.
The display unit is a module for providing a viewing interface for a vehicle seeker, and can be a liquid crystal screen, an electronic ink screen and the like. The information input box is a small window which is used for providing the car seeker with car seeking information capable of being input, and the car seeking information which can be input by the car seeker in the information input box can comprise: license plate number, parking time range, body color, etc.
Generally, when similarity between a face image of a person seeking and a plurality of registered face images stored in a database is calculated, and a target face image matched with the face image of the person seeking cannot be found from the plurality of registered face images, it indicates that the first license plate number query in the database fails, and the reasons for the failure are as follows: the external light causes the blurring of the face image of a person seeking by the first camera, the blurring of the user image of a driver entering the parking lot without following the vehicle by the person seeking, the blurring of the user image of the driver acquired by the second camera and the like; when the first license plate number cannot be inquired, a display unit of the vehicle searching terminal displays an information input box, and a vehicle searching person can input vehicle related information in the information input box to inquire parking position information of the vehicle; optionally, when the first license plate number is not queried, the vehicle finder may also select a mode of collecting the face image again to find the parking position information of the vehicle.
For example, the following steps are carried out: referring to the display interface of the car-seeking terminal in fig. 4, when the first license plate number is not queried, the display unit displays an information input box 401, the information input box 401 displays reminding information reminding that the first license plate number is queried and an input field 402 capable of being used for inputting the license plate number, a car seeker can input the license plate number on the input field 402, click a determination key on the information input box 401 to query the input license plate number, and the car seeker can also directly click a cancel key on the information input box 401 to enter a face image interface for collecting the car seeker again.
S314, when the vehicle seeker is detected to input the second license plate number in the information input box, second parking position information related to the second license plate number is searched.
The second license plate number is the license plate number input by the vehicle seeker on the vehicle seeking terminal, the second parking position information refers to the parking position information which is bound together with the license plate number matched with the second license plate number in the database, and the second parking position information is acquired by the second camera after the vehicle corresponding to the license plate number matched with the second license plate number in the database drives into the parking space.
Generally, when it is detected that the vehicle seeker inputs a second license plate number in the information input box, the vehicle seeking terminal judges whether the license plate number matched with the second license plate number can be found from the database, and if the second license plate number can be matched with the license plate number in the database of the vehicle seeking terminal, second parking position information related to the second license plate number can be found through the license plate number.
And S315, displaying the second parking position information through the display unit.
Generally, when the vehicle searching terminal does not search the first parking position information of the vehicle corresponding to the face image of the vehicle searching person from the database, the parking position information of the vehicle corresponding to the license plate number can be searched in a mode that the vehicle searching person inputs the license plate number to be searched in an information input frame on the vehicle searching terminal so as to obtain second parking position information, and after the second parking position information is found, the second parking position information can be displayed through a display unit on the vehicle searching terminal so as to prompt the vehicle searching person to go to a specific position to search for the vehicle, so that the vehicle searching person can quickly find the vehicle.
And S316, acquiring the current position information of the vehicle searching terminal.
The current position information refers to the position of the vehicle searching terminal, a plurality of vehicle searching terminals may exist in one parking lot, and the position of each vehicle searching terminal affects subsequent planning of a vehicle searching navigation line.
And S317, planning a vehicle searching navigation line according to the current position information and the first parking position information or the second parking position information.
Generally, after a person's face image of a car finder is collected to find first parking position information of a car in a parking lot, or the car finder inputs a second license plate number which can be matched with the license plate number in a database in an information input frame on a display unit of a car finding terminal, the car finding terminal obtains the first parking position information or the second parking position information, and a preferable car finding navigation line can be planned for the car finder according to the current position information of the car finding terminal and the first parking position information or the second parking position information and a parking space distribution map of the parking lot obtained from the database, so that great convenience is provided for the car finder to find the car.
And S318, displaying the car searching navigation line through the display unit.
Generally, after a vehicle searching terminal plans an optimal vehicle searching navigation line for a vehicle searching person, the optimal vehicle searching navigation line can be displayed through a display unit of the vehicle searching terminal, so that the vehicle searching person can intuitively acquire the vehicle searching navigation line.
And S319, displaying the two-dimensional code through the display unit.
The two-dimensional code is a pattern which is distributed in a two-dimensional direction according to a certain rule by using a certain specific geometric figure, is black and white and is used for recording data symbol information, in the embodiment of the application, the two-dimensional code can be used for recording a vehicle searching navigation line, parking lot information and the like, and a vehicle searching person can scan the two-dimensional code by using a mobile terminal carried with the vehicle searching person to obtain the vehicle searching navigation line.
And S320, when the mobile terminal is detected to scan the two-dimensional code, establishing connection with the mobile terminal.
Generally, when a vehicle searching terminal detects that a mobile terminal for a vehicle searching person scans a two-dimensional code recorded with a vehicle searching navigation line, the vehicle searching terminal establishes connection with the mobile terminal, the vehicle searching person can send a request for checking the vehicle searching navigation line to the vehicle searching terminal through the mobile terminal, and the vehicle searching terminal can push the vehicle searching navigation line to the mobile terminal through the connection.
For example, the following steps are carried out: after the vehicle searching person scans the two-dimensional code on the display unit of the vehicle searching terminal by using the mobile terminal, the mobile terminal displays the WeChat public number of the parking lot, and after paying attention to the WeChat public number and sending a specific character to the WeChat public number, the related information of the vehicle searched by the vehicle searching person in the parking lot and a vehicle searching navigation circuit planned by the vehicle searching terminal for the vehicle searching person can be obtained.
And S321, sending the car searching navigation line to the mobile terminal through connection.
Generally, after the vehicle searching terminal is connected with the mobile terminal, the vehicle searching terminal and the mobile terminal can establish communication connection through the connection and perform information or instruction transmission, the vehicle searching terminal can send a vehicle searching navigation line to the mobile terminal through the connection, and a vehicle searching person can check the vehicle searching navigation line at any time through the mobile terminal.
According to the parking multidimensional sensing detection method, when a vehicle seeking terminal detects that a vehicle drives into a parking space, a parking image of the vehicle in the parking space and a user image of a driver are collected through a second camera, first parking position information and a first license plate number of the vehicle are determined according to the parking image, the user image is analyzed to obtain a face image of the driver, the face image, the first parking position information and the first license plate number of the driver are bound and then stored in a database, the user image of the driver is analyzed to obtain height information, gender information and dress information of the driver, and the height information, the gender information, the dress information and the face image information of the driver are bound and then stored in the database; when a car searching request is received, acquiring a face image of a car searching person through a first camera, calculating the similarity between the face image of the car searching person and a plurality of registered face images stored in a database, judging whether a target face image matched with the face image of the car searching person can be found from the plurality of registered face images, inquiring a first license plate number associated with the target face image, acquiring first parking position information associated with the first license plate number, and displaying the first parking position information through a display unit; when the first license plate number is not inquired, displaying the information input box through the display unit, when detecting that a user inputs a second license plate number in the information input box, searching second parking position information associated with the second license plate number, and displaying the second parking position information through the display unit; the method comprises the steps of obtaining current position information of a vehicle searching terminal, planning a vehicle searching navigation line according to the current position information and first parking position information or second parking position information, displaying the vehicle searching navigation line through a display unit, displaying a two-dimensional code through the display unit, establishing connection with a mobile terminal when detecting that the mobile terminal scans the two-dimensional code, and sending the vehicle searching navigation line to the mobile terminal through the connection. By the method, when a vehicle searching person parks the vehicle in a parking lot and forgets the parking position, the parking position of the vehicle at the parking lot can be searched through the vehicle searching terminal, and the parked vehicle can be quickly found according to the vehicle searching navigation line planned by the vehicle searching terminal.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 5, a schematic structural diagram of a parking multidimensional sensing and detecting device 5 according to an exemplary embodiment of the present application is shown. The device 5 can be implemented by software, hardware or a combination of the two as all or part of the car searching terminal, and the device 5 comprises:
a parking multi-dimensional perception investigation apparatus 5, the apparatus 5 further comprising:
the acquisition module 501 is used for acquiring a face image of a car searching person through a first camera when a car searching request is received;
an obtaining module 502, configured to query a database for a corresponding first license plate number according to the face image of the person seeking, and obtain first parking position information associated with the first license plate number;
a display module 503, configured to display the first parking position information through a display unit.
Optionally, the obtaining module 502 includes:
a calculation unit for calculating the similarity between the face image of the person seeking person and a plurality of registered face images stored in the database;
a judging unit, configured to judge whether a target face image matching the face image of the person seeking person can be found from the plurality of registered face images;
and the query unit is used for querying the first license plate number associated with the target face image after the target face image matched with the face image of the person seeking person is found.
Optionally, the determining unit further includes:
the first display unit is used for displaying an information input frame through the display unit when a target face image matched with the face image of the person seeking person is not found; the information input box is used for prompting a user to input a license plate number;
the searching unit is used for searching second parking position information associated with a second license plate number when the fact that the user inputs the second license plate number in the information input box is detected;
and the second display unit is used for displaying the second parking position information through the display unit.
Optionally, the apparatus 5 further comprises:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring a parking image of a vehicle on a parking space and a user image of a driver through a second camera when the vehicle is detected to drive into the parking space;
a first determining unit for determining first parking position information and the first license plate number of the vehicle according to the parking image;
the first analysis unit is used for analyzing the user image to acquire a face image of the driver;
and the first processing unit is used for binding the facial image of the driver, the first parking position information and the first license plate number and then storing the bound facial image, the first parking position information and the first license plate number into the database.
Optionally, the apparatus 5 further comprises:
the second analysis unit is used for analyzing the user image of the driver to acquire height information, sex information and dressing information of the driver;
and the second processing unit is used for binding the height information, the sex information, the dressing information and the face image information of the driver and then storing the binding information and the dressing information into the database.
Optionally, the apparatus 5 further comprises:
the acquisition unit is used for acquiring the current position information of the vehicle searching terminal;
the second processing unit is used for planning a vehicle searching navigation line according to the current position information and the first parking position information;
and the third display unit is used for displaying the car searching navigation line through the display unit.
Optionally, the apparatus 5 further comprises:
the fourth display unit is used for displaying the two-dimensional code through the display unit;
the third processing unit is used for establishing connection with the mobile terminal when the mobile terminal is detected to scan the two-dimensional code;
and the sending unit is used for sending the car searching navigation line to the mobile terminal through the connection.
It should be noted that, when the parking multidimensional sensing and detecting device provided in the above embodiment executes the parking multidimensional sensing and detecting method, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above described functions. In addition, the parking multidimensional sensing and detecting device and the parking multidimensional sensing and detecting method provided by the embodiment belong to the same concept, and the embodiment of the method for embodying the implementation process is detailed in the embodiment, which is not repeated herein.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Embodiments of the present application also provide a computer storage medium that may store a plurality of instructions adapted to be loaded by a processor and to perform the method steps as described above.
The application also provides a terminal, which comprises a processor, a memory and a display; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (10)
1. A parking multidimensional sensing detection method is applied to a vehicle searching terminal, and is characterized by comprising the following steps:
when a car searching request is received, acquiring a face image of a car searching person through a first camera;
inquiring a corresponding first license plate number in a database according to the face image of the person seeking person, and acquiring first parking position information associated with the first license plate number;
and displaying the first parking position information through a display unit.
2. The method of claim 1, wherein said querying a database for a corresponding first license plate number based on the image of the person's face comprises:
calculating the similarity between the face image of the person seeking person and a plurality of registered face images stored in the database;
judging whether a target face image matched with the face image of the person seeking person can be found from the plurality of registered face images;
if so, inquiring the first license plate number associated with the target face image.
3. The method of claim 2, wherein said determining whether a target face image matching the face image of the person seeking can be found from the plurality of registered face images further comprises:
if not, displaying an information input frame through the display unit; the information input box is used for prompting a user to input a license plate number;
when the searching person is detected to input a second license plate number in the information input box, searching second parking position information associated with the second license plate number;
and displaying the second parking position information through the display unit.
4. The method according to claim 1, wherein before the step of collecting the face image of the car seeking person through the first camera when the car seeking request is received, the method further comprises the following steps:
when the fact that the vehicle drives into a parking space is detected, a second camera is used for collecting a parking image of the vehicle in the parking space and a user image of a driver;
determining first parking position information and the first license plate number of the vehicle according to the parking image;
analyzing the user image to obtain a face image of the driver;
and binding the facial image of the driver, the first parking position information and the first license plate number and then storing the binding information into the database.
5. The method of claim 4, wherein the binding the facial image of the driver, the first parking location information, and the first license plate number is stored in the database, further comprising:
analyzing the user image of the driver to acquire height information, sex information and dressing information of the driver;
and binding the height information, the gender information, the dressing information and the face image information of the driver and then storing the binding information and the dressing information into the database.
6. The method of claim 1, wherein after the displaying the first parking position information through the display unit, further comprising:
acquiring current position information of a vehicle searching terminal;
planning a vehicle searching navigation line according to the current position information and the first parking position information;
and displaying the car searching navigation line through the display unit.
7. The method according to claim 6, wherein after the displaying the car-finding navigation route by the display unit, further comprising:
displaying the two-dimensional code through the display unit;
when detecting that the mobile terminal scans the two-dimensional code, establishing connection with the mobile terminal;
and sending the car searching navigation line to the mobile terminal through the connection.
8. A parking multi-dimensional perception investigation apparatus, the apparatus further comprising:
the acquisition module is used for acquiring a face image of a car searching person through the first camera when a car searching request is received;
the acquisition module is used for inquiring a corresponding first license plate number in a database according to the face image of the person seeking person and acquiring first parking position information related to the first license plate number;
and the display module is used for displaying the first parking position information through a display unit.
9. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 7.
10. A terminal, comprising: a processor, a memory and a display screen; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010038136.7A CN111243325A (en) | 2020-01-14 | 2020-01-14 | Parking multidimensional sensing investigation method and device, storage medium and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010038136.7A CN111243325A (en) | 2020-01-14 | 2020-01-14 | Parking multidimensional sensing investigation method and device, storage medium and terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111243325A true CN111243325A (en) | 2020-06-05 |
Family
ID=70876139
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010038136.7A Pending CN111243325A (en) | 2020-01-14 | 2020-01-14 | Parking multidimensional sensing investigation method and device, storage medium and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111243325A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202953A (en) * | 2021-12-22 | 2022-03-18 | 广东艾科智泊科技股份有限公司 | Vehicle searching method based on panoramic parking lot |
| CN114333041A (en) * | 2022-03-10 | 2022-04-12 | 浙江大华技术股份有限公司 | Image processing method, device, equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204087517U (en) * | 2013-12-19 | 2015-01-07 | 深圳市捷顺科技实业股份有限公司 | A car-finding system based on face recognition technology |
| CN108154708A (en) * | 2018-01-19 | 2018-06-12 | 北京悦畅科技有限公司 | Parking lot management method, server, video camera and terminal device |
| CN108257413A (en) * | 2018-01-25 | 2018-07-06 | 贵州宜行智通科技有限公司 | Seek vehicle system and method |
| CN110490092A (en) * | 2019-07-29 | 2019-11-22 | 恒大智慧科技有限公司 | Community-based car searching method and system, computer readable storage medium |
-
2020
- 2020-01-14 CN CN202010038136.7A patent/CN111243325A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204087517U (en) * | 2013-12-19 | 2015-01-07 | 深圳市捷顺科技实业股份有限公司 | A car-finding system based on face recognition technology |
| CN108154708A (en) * | 2018-01-19 | 2018-06-12 | 北京悦畅科技有限公司 | Parking lot management method, server, video camera and terminal device |
| CN108257413A (en) * | 2018-01-25 | 2018-07-06 | 贵州宜行智通科技有限公司 | Seek vehicle system and method |
| CN110490092A (en) * | 2019-07-29 | 2019-11-22 | 恒大智慧科技有限公司 | Community-based car searching method and system, computer readable storage medium |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114202953A (en) * | 2021-12-22 | 2022-03-18 | 广东艾科智泊科技股份有限公司 | Vehicle searching method based on panoramic parking lot |
| CN114333041A (en) * | 2022-03-10 | 2022-04-12 | 浙江大华技术股份有限公司 | Image processing method, device, equipment and medium |
| CN114333041B (en) * | 2022-03-10 | 2022-06-17 | 浙江大华技术股份有限公司 | Image processing method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102043588B1 (en) | System and method for presenting media contents in autonomous vehicles | |
| US8393541B2 (en) | Custom scanning device and automated car auction facility management | |
| EP3480561B1 (en) | Navigation method, device, and system | |
| CN105701458B (en) | Method and system for obtaining image and identifying vehicle external information based on vehicle-mounted equipment | |
| CN111814752B (en) | Indoor positioning realization method, server, intelligent mobile device and storage medium | |
| CN108154708A (en) | Parking lot management method, server, video camera and terminal device | |
| KR101575159B1 (en) | Method of operating application for providing parking information to mobile terminal | |
| KR101563542B1 (en) | Parking information system using mobile terminal | |
| CN109326136A (en) | Parking navigation method, equipment and computer readable storage medium | |
| CN112269939B (en) | Automatic driving scene searching method, device, terminal, server and medium | |
| CN113313961B (en) | Navigation method, navigation device, computer equipment and storage medium | |
| CN113781454A (en) | Vehicle damage detection method, device, equipment and storage medium | |
| CN105787062A (en) | Method and equipment for searching for target object based on video platform | |
| JP2017027546A (en) | Parking position guide system | |
| EP4086859A2 (en) | Method and apparatus for assisted parking | |
| JP2006048171A (en) | State estimating device, state estimating method, information providing device using the same, information providing method | |
| CN111243325A (en) | Parking multidimensional sensing investigation method and device, storage medium and terminal | |
| US9911151B1 (en) | System and method of inventory management and marketing for vehicles | |
| CN115424465B (en) | Parking lot map construction method, device and storage medium | |
| US20210031754A1 (en) | Information processing apparatus, information processing method, and program | |
| CN112614379A (en) | Autonomous parking navigation method and device | |
| WO2021243693A1 (en) | Method and apparatus for collecting image of driver | |
| CN114554410B (en) | Method for determining vehicle parking position, vehicle and user terminal | |
| CN112498338B (en) | A storage location determination method, device and electronic equipment | |
| CN117576939A (en) | Parking position identification method and device, automobile, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200605 |
|
| RJ01 | Rejection of invention patent application after publication |