CN105857252A - Automobile anti-theft tracing method and system - Google Patents
Automobile anti-theft tracing method and system Download PDFInfo
- Publication number
- CN105857252A CN105857252A CN201510888424.0A CN201510888424A CN105857252A CN 105857252 A CN105857252 A CN 105857252A CN 201510888424 A CN201510888424 A CN 201510888424A CN 105857252 A CN105857252 A CN 105857252A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- picture
- face image
- mounted camera
- automobile
- 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
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000009471 action Effects 0.000 claims abstract description 99
- 238000001514 detection method Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000002360 preparation method Methods 0.000 claims description 12
- 238000013475 authorization Methods 0.000 claims description 9
- 238000010276 construction Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 4
- 238000010187 selection method Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000002349 favourable effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/305—Detection related to theft or to other events relevant to anti-theft systems using a camera
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R25/102—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/25—Means to switch the anti-theft system on or off using biometry
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Image Processing (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses an automobile anti-theft tracing method and system and is applied to automobiles. The automobile anti-theft tracing method comprises the steps that the situation that external action of an automobile occurs is perceived, an automobile-mounted camera is started, and pictures are collected; a face image is extracted from the collected pictures; matching is conducted on the extracted face image and locally stored face images of legal users; and if no face image is successfully matched, then, the person corresponding to the extracted face image is judged to be an illegal intruder, and the face image of the illegal intruder is sent to a preset user. According to the automobile anti-theft tracing method and system provided by the invention, the face image which is judged to be the face image of the illegal intruder is sent to the preset user, so that the preset user conducts automobile tracing according to the face image of the illegal intruder.
Description
Technical Field
The invention relates to the technical field of automobile theft prevention, in particular to an automobile theft prevention tracking method and system.
Background
In recent years, due to the high-speed development of the automobile industry in China, all aspects of the functions of the automobile are more and more complete; for example, in the vehicle-mounted face recognition device which is gradually common in the prior art, the automobile can be automatically started by scanning the portrait, so that the starting process of the automobile is greatly simplified, and the use of a user is facilitated.
Meanwhile, with the high-speed development of the automobile industry, automobile anti-theft technology and automobile tracking technology are developed more and more; however, in the automobile anti-theft tracking system in the prior art, GPS positioning is generally adopted, and this technology can only perform positioning tracking on a lost automobile, but cannot identify an illegal intruder who steals the automobile, so that it is difficult for a public security organization to obtain evidence, and the illegal intruder cannot be quickly and accurately found.
Disclosure of Invention
In view of the above, the present invention provides an automobile anti-theft tracking method and system, which can capture a face image of an illegal intruder to assist in improving solution solving efficiency.
Based on the above object, the present invention provides an automobile anti-theft tracking method, applied to an automobile, comprising:
detecting the occurrence of external actions of the automobile;
starting a vehicle-mounted camera and collecting pictures;
extracting a face image from the acquired picture;
matching the extracted face image with a locally stored face image of a legal user;
and if no face image successfully matched exists, judging the human illegal invader corresponding to the extracted face image, and sending the face image of the illegal invader to a preset user.
In some embodiments, the number of the onboard cameras is 1 or more.
In some embodiments, when the number of the in-vehicle cameras is plural, the in-vehicle cameras are distributed inside the automobile and/or outside the automobile.
In some embodiments, the step of turning on the vehicle-mounted camera and acquiring the picture comprises:
acquiring the occurrence position of the external action;
selecting a vehicle-mounted camera at the best picture acquisition position as a main camera according to the occurrence position of the external action;
the step of extracting the face image from the collected picture is as follows: and extracting a face image from the picture collected by the main camera.
In some embodiments, the step of sending the face image of the illegal intruder to a preset user includes:
continuously acquiring pictures acquired by a vehicle-mounted camera;
integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
and sequentially sending the combined pictures obtained by integrating each time point to a preset user.
In some embodiments, the method further comprises:
detecting that the occurrence position of the external action changes;
acquiring the occurrence position of a new external action;
and according to the occurrence position of the new external action, taking the vehicle-mounted camera at the new optimal picture acquisition position as a main camera.
In some embodiments, the method for selecting the optimal picture capturing position includes:
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
taking the position of the vehicle-mounted camera closest to the position where the external action occurs as an optimal picture acquisition position;
or,
calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera to the whole picture;
taking the position of the vehicle-mounted camera corresponding to the highest proportion as an optimal picture acquisition position;
or,
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action, and calculating the proportion of a face image in the picture acquired by each vehicle-mounted camera to the whole picture;
constructing a vehicle-mounted camera with a distance from the occurrence position of the external action smaller than a preset distance threshold value and a proportion of a face image in the whole picture larger than a preset proportion threshold value into a prepared main camera group;
if the prepared main camera group only comprises one vehicle-mounted camera, taking the position of the vehicle-mounted camera as the optimal picture acquisition position;
if the preparation main camera group comprises a plurality of vehicle-mounted cameras, taking the position of the vehicle-mounted camera in the preparation main camera group, which is closest to the position where the external action occurs, as an optimal picture acquisition position;
and if the spare main camera group does not contain any vehicle-mounted camera, taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
In some embodiments, the step of sending the face image of the illegal intruder to the preset user further includes:
sending prompt information whether the current user is authorized to use the automobile to a preset user;
if an authorization instruction of a preset user is received, starting the automobile;
and if a prohibition instruction of a preset user is received, locking the automobile.
In another aspect of the present invention, there is provided an automobile anti-theft tracking system, including:
the detection module is used for sensing external actions occurring on the automobile;
the acquisition module is used for starting the vehicle-mounted camera and acquiring pictures;
the face image extraction module is used for extracting a face image from the acquired picture;
the matching module is used for matching the extracted face image with a locally stored face image of a legal user, and judging a human illegal invader corresponding to the extracted face image if no face image is successfully matched;
and the sending module is used for sending the face image of the illegal invader to a preset user.
In some embodiments, the number of the onboard cameras is 1 or more.
In some embodiments, when the number of the in-vehicle cameras is plural, the in-vehicle cameras are distributed inside the automobile and/or outside the automobile.
In some embodiments, the acquisition module further comprises:
an occurrence position acquisition unit for acquiring an occurrence position of the external action;
the optimal position selection unit is used for selecting a vehicle-mounted camera at an optimal picture acquisition position as a main camera according to the occurrence position of the external action;
the face image extraction module is also used for extracting a face image from the picture collected by the main camera.
In some embodiments, the acquisition module is further configured to continuously acquire the pictures acquired by the vehicle-mounted camera;
the system also comprises a combined picture integration module which is used for integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
and the sending module is also used for sequentially sending the combined pictures obtained by integrating each time point to a preset user.
In some embodiments, the detection module is further configured to sense a change in the occurrence location of the extraneous action;
the occurrence position acquisition unit is also used for acquiring the occurrence position of a new external action;
and the optimal position selection unit is also used for taking the vehicle-mounted camera at the new optimal picture acquisition position as a main camera according to the occurrence position of the new external action.
In some embodiments, the optimal position selection unit further comprises:
the distance calculation unit is used for calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs as an optimal picture acquisition position;
alternatively, the optimal position selection unit further includes:
the proportion calculation unit is used for calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera in the whole picture;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera corresponding to the highest proportion as an optimal picture collecting position;
alternatively, the optimal position selection unit further includes:
the distance calculation unit is used for calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
the proportion calculation unit is used for calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera in the whole picture;
the device comprises a preparation main camera group construction unit, a preparation main camera group construction unit and a control unit, wherein the preparation main camera group construction unit is used for constructing vehicle-mounted cameras, the distance between the vehicle-mounted cameras and the occurrence position of the external action is smaller than a preset distance threshold value, and the proportion of face images in the whole picture is larger than a preset proportion threshold value;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera as an optimal picture acquisition position if the prepared main camera group only comprises one vehicle-mounted camera; if the prepared main camera group comprises a plurality of vehicle-mounted cameras, the prepared main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs in the prepared main camera group as an optimal picture acquisition position; and if the spare main camera group does not contain any vehicle-mounted camera, the spare main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
In some embodiments, the sending module is further configured to send a prompt message to a preset user whether the current user is authorized to use the vehicle;
the system further comprises:
the receiving module is used for receiving an authorization instruction or a prohibition instruction of a preset user;
the automobile unlocking module is used for starting the automobile if receiving an authorization instruction of a preset user; and if a prohibition instruction of a preset user is received, the automobile locking device is used for locking the automobile.
From the above, according to the automobile anti-theft tracking method and system provided by the invention, when an external action is detected, the vehicle-mounted camera is started to collect a picture, the face image in the collected picture is matched with the face image of a legal user prestored in the local area, when the matching is unsuccessful, the picture is judged to be an illegal invader, and the face image is sent to the preset user, so that the preset user obtains the face image of the illegal invader to conveniently track the automobile, and the user can also provide the face image to a public security agency, and can also assist the public security agency to solve the case while being used as evidence, thereby assisting in improving the working efficiency of the public security agency.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of an anti-theft tracking method for a vehicle according to the present invention;
FIG. 2 is a schematic flow chart illustrating an exemplary embodiment of an anti-theft tracking method for a vehicle according to the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of an anti-theft tracking system for a vehicle according to the present invention;
FIG. 4 is a schematic structural diagram of an acquisition module in an embodiment of an anti-theft tracking system for a vehicle according to the present invention;
FIG. 5 is a schematic structural diagram of an optimal location selection unit in an embodiment of the anti-theft tracking system for a vehicle according to the present invention;
fig. 6 is a schematic diagram of an embodiment of a display screen of a receiving device of a default user in an embodiment of the vehicle anti-theft tracking method and system provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
In a first aspect of the present invention, an automobile anti-theft tracking method capable of capturing a face image of an illegal intruder is provided. Referring to fig. 1, a flow chart of an embodiment of the automobile anti-theft tracking method provided by the invention is schematically shown.
The automobile anti-theft tracking method is applied to various automobiles and comprises the following steps:
step 101: detecting the occurrence of external actions of the automobile;
here, it may be detected that a foreign action occurs at any part of the automobile (for example, a door, a window, a trunk is opened, etc.); or detecting a specific part of the automobile (which is a preset detection part, such as a car keyhole, a driver seat and the like) to generate a foreign action (such as the car keyhole is inserted into a foreign object, the pressure is detected on the driver seat and the like); in addition, if the external action generated at any part of the automobile needs to be detected, sensors are distributed on the automobile or distributed at key positions so as to monitor the external action on each part of the automobile; if the external action generated at the specific part needs to be detected, only a corresponding sensor needs to be arranged at the specific part;
step 102: starting a vehicle-mounted camera (the vehicle-mounted camera for face recognition can be directly selected) and collecting pictures;
step 103: extracting a face image from the acquired picture;
step 104: matching the extracted face image with a locally stored face image of a legal user;
step 105: if no face image is successfully matched, judging a human illegal invader corresponding to the extracted face image, and sending the face image of the illegal invader to a preset user (the preset user can be an owner of the vehicle or a parent, a friend and the like of the owner of the vehicle, and the user can set the face image according to the requirement); here, while sending the face image of the illegal intruder to the preset user, some information beneficial to tracking, such as the current position of the automobile, may be sent incidentally; the sending mode can be selected according to different requirements, such as a common mobile communication network transmission mode (such as GPRS, 3G, 4G and the like), a Beidou satellite communication mode or other long-distance wireless communication modes, and the like; and the preset user can receive the information through corresponding receiving equipment such as a smart phone, a Beidou terminal and the like.
It can be seen from the above embodiments that, in the automobile anti-theft tracking method provided by the present invention, when an external action is detected, the vehicle-mounted camera is turned on to collect a picture, and the face image in the collected picture is matched with the face image of a valid user prestored in the local area, when the matching is unsuccessful, the picture is determined to be an illegal intruder, and the face image is sent to the preset user, so that the preset user obtains the face image of the illegal intruder, so as to perform automobile tracking, and the user can also provide the face image to a public security agency, and while being used as an evidence, the method can assist the public security agency in breaking a case, thereby assisting in improving the working efficiency of the public security agency.
When only one vehicle-mounted camera is provided, the collected picture may not contain the face image of the illegal intruder, so that the face image cannot be matched, and therefore, in order to ensure that the face image of the illegal intruder can be collected, the number of the vehicle-mounted cameras is set to be a plurality of and the vehicle-mounted cameras are uniformly distributed in the automobile (or uniformly distributed outside the automobile and inside the automobile or uniformly distributed outside the automobile only); here, the vehicle-mounted cameras may be uniformly distributed in such a manner that one vehicle-mounted camera is respectively disposed at four corners of a windshield at the front of the automobile, one vehicle-mounted camera is respectively disposed at four corners of a glass at the rear of the automobile, one vehicle-mounted camera is respectively disposed at the upper and lower sides of the middle portion of the window, and other positions where the vehicle-mounted cameras are necessary to be disposed, and the like;
the step 102 of turning on the vehicle-mounted camera and acquiring the picture may further include the following steps:
acquiring the occurrence position of the external action;
selecting a vehicle-mounted camera at the best picture acquisition position as a main camera according to the occurrence position of the external action;
the step 103 of extracting a face image from the acquired picture further includes: and extracting a face image from the picture collected by the main camera.
Through the picture of gathering a plurality of on-vehicle cameras, make the image resource for analysis processes abundanter, can reflect the current condition of car from many angles, simultaneously, through selecting the on-vehicle camera of best picture collection position as main camera, extract face image from it again, make the face image who obtains clearer, be favorable to more accurately matching, and predetermine the user and also can see illegal invader's face phase more clearly when receiving this face image, also be favorable to public security office to arrest illegal invader simultaneously.
In some embodiments, the step 105 of sending the face image of the illegal intruder to the preset user may further include the following steps:
continuously acquiring (or acquiring in real time) pictures acquired by a plurality of vehicle-mounted cameras;
integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the ratio of the picture collected by the main camera to the whole combined picture is above 1/2 (refer to fig. 6, which is a display picture 400 of a receiving device of a preset user, wherein the largest picture is a picture 401 of the main camera, and other small pictures are pictures 402 of other vehicle-mounted cameras);
and sequentially sending the combined picture obtained by integrating each time point to a preset user (namely, a plurality of pictures collected by each time point are integrated into a combined picture and sent according to the time sequence, or the combined picture can be integrated in real time and sent in real time).
The images collected by the plurality of vehicle-mounted cameras are integrated into a combined image and are sent to the preset user, so that the preset user can simultaneously watch the images collected by the plurality of vehicle-mounted cameras, and further more information about the illegal intruder can be obtained.
In some embodiments, the step of continuously acquiring the pictures acquired by the plurality of vehicle-mounted cameras may further include the steps of:
detecting that the occurrence position of the external action changes;
acquiring the occurrence position of a new external action;
and according to the occurrence position of the new external action, taking the vehicle-mounted camera at the new optimal picture acquisition position as a main camera.
By switching the main camera in the mode, the combined picture acquired by the preset user can be switched in real time, and the illegal intruder can be better observed.
The selection of the optimal picture collecting position can be set according to requirements, such as the position of a vehicle-mounted camera which is closest to an illegal invader, or the position of a vehicle-mounted camera of which the collected face image is more positive (namely the face basically faces the camera), and the like; therefore, optionally, the method for selecting the optimal picture capturing position may adopt the following embodiments, including:
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
and taking the position of the vehicle-mounted camera closest to the position of the occurrence of the external action as an optimal picture acquisition position.
Alternatively, the method for selecting the optimal picture collecting position may further adopt the following embodiments, including:
calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera to the whole picture;
and taking the position of the vehicle-mounted camera corresponding to the highest proportion as the optimal picture acquisition position.
Alternatively, the method for selecting the optimal picture collecting position may further adopt the following embodiments, including:
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action, and calculating the proportion of a face image in the picture acquired by each vehicle-mounted camera to the whole picture;
constructing a vehicle-mounted camera with a distance from the occurrence position of the external action smaller than a preset distance threshold value and a proportion of a face image in the whole picture larger than a preset proportion threshold value into a prepared main camera group;
if the prepared main camera group only comprises one vehicle-mounted camera, taking the position of the vehicle-mounted camera as the optimal picture acquisition position;
if the preparation main camera group comprises a plurality of vehicle-mounted cameras, taking the position of the vehicle-mounted camera in the preparation main camera group, which is closest to the position where the external action occurs, as an optimal picture acquisition position;
and if the spare main camera group does not contain any vehicle-mounted camera, taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
The above three embodiments of selecting the best picture acquisition position can all select the main camera well, can both play better observation effect, can select the setting according to different demands.
In some optional embodiments, the step 105 of sending the face image of the illegal intruder to the preset user may further include the following steps:
sending prompt information whether the current user is authorized to use the automobile to a preset user;
if an authorization instruction of a preset user is received, starting the automobile; therefore, under certain conditions, when a user who is not an illegal invader (such as a friend, a relative and the like of a car owner who does not input a face image in advance) needs to use the car, the user can be authorized by a preset user, and the process that the car owner borrows the car for the friend is simplified;
if a prohibition instruction of a preset user is received, locking the automobile; therefore, when the preset user determines that the preset user is an illegal invader, the preset user can send an instruction to lock the automobile, and the automobile is prevented from being driven away.
Preferably, referring to fig. 2, another embodiment of the anti-theft tracking method for a vehicle according to the present invention is described.
The automobile anti-theft tracking method is applied to various automobiles and comprises the following steps:
step 201: detecting the occurrence of external actions of the automobile;
step 202: starting the vehicle-mounted camera;
step 203: acquiring the occurrence position of the external action;
step 204: selecting a vehicle-mounted camera at the best picture acquisition position as a main camera according to the occurrence position of the external action;
step 205: extracting a face image from a picture acquired by a main camera;
step 206: matching the extracted face image with a locally stored face image of a legal user;
step 207: if no face image is successfully matched, judging a human illegal invader corresponding to the extracted face image, and sending the face image of the illegal invader to a preset user;
step 208: continuously acquiring pictures acquired by a plurality of vehicle-mounted cameras;
step 209: integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
step 210: sequentially sending the combined pictures obtained by integrating each time point to a preset user;
step 211: detecting that the occurrence position of the external action changes;
step 212: acquiring the occurrence position of a new external action;
step 213: and taking the vehicle-mounted camera at the new best picture acquisition position as a main camera according to the occurrence position of the new external action, and returning to the step 208.
It can be seen from the above embodiments that, in the automobile anti-theft tracking method provided by the present invention, when an external action is detected, the vehicle-mounted camera is turned on to collect a picture, and the main camera is selected according to the occurrence position of the external action, the face image in the picture collected by the main camera is matched with the face image of a legal user prestored in the local area, when the matching is unsuccessful, the illegal intruder is determined, and the face image is sent to the preset user, so that the preset user obtains the face image of the illegal intruder, thereby facilitating the automobile tracking, and the user can also provide the face image to the public security agency, and while being taken as an evidence, the public security agency can also assist in solving a case, thereby assisting in improving the working efficiency of the public security agency; in addition, pictures collected by a plurality of vehicle-mounted cameras are continuously obtained and integrated into a combined picture to be sent to a preset user, so that the user can observe the action of an illegal invader in real time; meanwhile, the change of the occurrence position of the external action is monitored in real time, so that the vehicle-mounted camera at the new optimal position is switched to the main camera, and the best observation effect is achieved.
In a second aspect of the present invention, an anti-theft tracking system for a vehicle is further provided, as shown in fig. 3, which is a schematic structural diagram of an embodiment of the anti-theft tracking system for a vehicle provided by the present invention.
The car theftproof tracking system includes:
a detection module 301 for detecting an external action occurring on the vehicle;
here, the detection module 301 may detect that a foreign action occurs at any part of the automobile (for example, a door, a window, a trunk is opened, etc.); or detecting a specific part of the automobile (which is a preset detection part, such as a car keyhole, a driver seat and the like) to generate a foreign action (such as the car keyhole is inserted into a foreign object, the pressure is detected on the driver seat and the like); therefore, if it is required to detect the extraneous motion occurring at any part of the automobile, the detection module 301 includes sensors distributed over the automobile or sensors distributed at key positions to monitor the extraneous motion at each part of the automobile; if the external action generated at the specific part needs to be detected, the detection module 301 comprises a sensor arranged at the specific part;
the acquisition module 302 comprises a vehicle-mounted camera (which can directly select a vehicle-mounted camera for face recognition) and a related acquisition circuit, and is used for starting the vehicle-mounted camera and acquiring pictures;
a face image extraction module 303, configured to extract a face image from the acquired picture;
the matching module 304 is used for matching the extracted face image with a locally stored face image of a legal user, and if no face image is successfully matched, judging a human illegal invader corresponding to the extracted face image;
a sending module 305, configured to send the face image of the illegal intruder to a preset user (the preset user may be a car owner or a parent or a friend of the car owner, and the user may set the face image as required); here, while sending the face image of the illegal intruder to the preset user, some information beneficial to tracking, such as the current position of the automobile, may be sent incidentally; the sending mode can be selected according to different requirements, for example, a common mobile communication network transmission mode (such as GPRS, 3G, 4G, and the like), a beidou satellite communication mode, or other long-distance wireless communication modes, and the like.
It can be seen from the above embodiments that, in the automobile anti-theft tracking system provided by the present invention, when an external action is detected, the vehicle-mounted camera is turned on to collect a picture, and the face image in the collected picture is matched with the face image of a valid user prestored in the local area, when the matching is unsuccessful, the face image is determined to be an illegal intruder, and the face image is sent to the preset user, so that the preset user obtains the face image of the illegal intruder, so as to perform automobile tracking, and the user can also provide the face image to a public security agency, and while being used as an evidence, the system can assist the public security agency in breaking a case, thereby assisting in improving the working efficiency of the public security agency.
When only one vehicle-mounted camera is provided, the collected picture may not contain the face image of the illegal intruder, so that the face image cannot be matched, and therefore, in order to ensure that the face image of the illegal intruder can be collected, the number of the vehicle-mounted cameras is set to be a plurality of and the vehicle-mounted cameras are uniformly distributed in the automobile (or uniformly distributed outside the automobile and inside the automobile or uniformly distributed outside the automobile only); here, the vehicle-mounted cameras may be uniformly distributed in such a manner that one vehicle-mounted camera is respectively disposed at four corners of a windshield at the front of the automobile, one vehicle-mounted camera is respectively disposed at four corners of a glass at the rear of the automobile, one vehicle-mounted camera is respectively disposed at the upper and lower sides of the middle portion of the window, and other positions where the vehicle-mounted cameras are necessary to be disposed, and the like;
as shown in fig. 4, the acquisition module 302 may further include the following components:
an occurrence position acquisition unit 3021 for acquiring an occurrence position of the extraneous action;
an optimal position selection unit 3022 configured to select, as a main camera, a vehicle-mounted camera at an optimal picture acquisition position according to the occurrence position of the external action;
the face image extraction module 303 is further configured to extract a face image from a picture acquired by the main camera.
Through the picture of gathering a plurality of on-vehicle cameras, make the image resource for analysis processes abundanter, can reflect the current condition of car from many angles, simultaneously, through selecting the on-vehicle camera of best picture collection position as main camera, extract face image from it again, make the face image who obtains clearer, be favorable to more accurately matching, and predetermine the user and also can see illegal invader's face phase more clearly when receiving this face image, also be favorable to public security office to arrest illegal invader simultaneously.
In some embodiments, the acquisition module 302 is further configured to continuously acquire (or acquire in real time) pictures acquired by a plurality of onboard cameras;
the system further comprises a combined picture integration module 306, configured to integrate the pictures of the multiple vehicle-mounted cameras collected at each time point into a combined picture; wherein, the ratio of the picture collected by the main camera to the whole combined picture is above 1/2 (refer to fig. 6, which is a display picture 400 of a receiving device of a preset user, wherein the largest picture is a picture 401 of the main camera, and other small pictures are pictures 402 of other vehicle-mounted cameras);
the sending module 305 is further configured to sequentially send the combined picture obtained by integrating each time point to a preset user (that is, a plurality of pictures collected at each time point are integrated into one combined picture and sent according to a time sequence, or the combined picture is integrated in real time and sent in real time).
The images collected by the plurality of vehicle-mounted cameras are integrated into a combined image and are sent to the preset user, so that the preset user can simultaneously watch the images collected by the plurality of vehicle-mounted cameras, and further more information about the illegal intruder can be obtained.
In some embodiments, the detection module 301 is further configured to sense a change in the occurrence position of the external action;
the occurrence position acquiring unit 3021, configured to acquire an occurrence position of a new external action;
the optimal position selection unit 3022 is further configured to use the vehicle-mounted camera at the new optimal picture capturing position as the main camera according to the occurrence position of the new external action.
By switching the main camera in the mode, the combined picture acquired by the preset user can be switched in real time, and the illegal intruder can be better observed.
The selection of the optimal picture collecting position can be set according to requirements, such as the position of a vehicle-mounted camera which is closest to an illegal invader, or the position of a vehicle-mounted camera of which the collected face image is more positive (namely the face basically faces the camera), and the like; therefore, alternatively, as shown in fig. 5, the optimal position selection unit 3022 may adopt the following embodiments including:
a distance calculation unit 30221 for calculating the distance between each in-vehicle camera and the occurrence position of the external motion;
an optimal position determination unit 30222 configured to determine a position of the vehicle-mounted camera closest to the position of occurrence of the external motion as an optimal screen capture position;
alternatively, the optimal position selection unit 3022 may employ the following embodiments including:
the proportion calculation unit 30223 is configured to calculate a proportion of a face image in a picture acquired by each vehicle-mounted camera to the whole picture;
an optimal position determination unit 30222 configured to use the position of the vehicle-mounted camera corresponding to the highest ratio as an optimal image acquisition position;
alternatively, the optimal position selection unit 3022 may employ the following embodiments including:
a distance calculation unit 30221 for calculating the distance between each in-vehicle camera and the occurrence position of the external motion;
the proportion calculation unit 30223 is configured to calculate a proportion of a face image in a picture acquired by each vehicle-mounted camera to the whole picture;
a preliminary main camera group construction unit 30224 configured to construct, as a preliminary main camera group, an in-vehicle camera whose distance from the occurrence position of the external motion is smaller than a preset distance threshold and whose proportion of the face image in the entire screen is larger than a preset proportion threshold;
an optimal position determination unit 30222 configured to determine, if only one in-vehicle camera is included in the preliminary main camera group, the position of the in-vehicle camera as an optimal screen capture position; if the prepared main camera group comprises a plurality of vehicle-mounted cameras, the prepared main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs in the prepared main camera group as an optimal picture acquisition position; and if the spare main camera group does not contain any vehicle-mounted camera, the spare main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
The above three embodiments of selecting the best picture acquisition position can all select the main camera well, can both play better observation effect, can select the setting according to different demands.
In some optional embodiments, the sending module 305 is further configured to send a prompt message to a preset user as to whether the current user is authorized to use the vehicle;
the system further comprises:
a receiving module 307, configured to receive an authorization instruction or a prohibition instruction of a preset user;
the automobile lock unlocking module 308 is used for starting the automobile if receiving an authorization instruction of a preset user, so that the automobile can be authorized to use by the preset user when a user (such as a friend, a relative and the like of an owner who does not input a face image in advance) who is not an illegal intruder needs to use the automobile under certain conditions, and the process of borrowing the automobile from the owner to the friend is simplified; if the prohibition instruction of the preset user is received, the automobile locking method is used for locking the automobile, so that when the preset user determines that the preset user is an illegal invader, the instruction can be sent to lock the automobile, and the automobile is prevented from being driven away.
How the car anti-theft tracking system is applied to the car anti-theft tracking method is described below with reference to fig. 2.
The automobile anti-theft tracking method is applied to various automobiles and comprises the following steps:
step 201: the detection module 301 detects that the vehicle has an external action;
step 202: the acquisition module 302 starts the vehicle-mounted camera;
step 203: the occurrence position acquisition unit 3021 acquires the occurrence position of the extraneous action;
step 204: the optimal position selection unit 3022 selects an on-vehicle camera at an optimal picture acquisition position as a main camera according to the occurrence position of the external action;
step 205: the face image extraction module 303 extracts a face image from a picture acquired by the main camera;
step 206: the matching module 304 matches the extracted face image with a locally stored face image of a legal user; if no face image is successfully matched, the matching module 304 determines the human illegal invader corresponding to the extracted face image;
step 207: the sending module 305 sends the face image of the illegal invader to a preset user;
step 208: the acquisition module 302 continuously acquires pictures acquired by a plurality of vehicle-mounted cameras;
step 209: the combined picture integration module 306 integrates the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
step 210: sequentially sending the combined pictures obtained by integrating each time point to a preset user;
step 211: the detection module 301 detects that the occurrence position of the external action changes;
step 212: the occurrence position acquisition unit 3021 acquires the occurrence position of a new extraneous action;
step 213: the optimum position selection unit 3022 takes the in-vehicle camera at the new optimum picture taking position as the main camera according to the occurrence position of the new external motion, and returns to step 208.
It can be seen from the above embodiments that, in the automobile anti-theft tracking system provided by the present invention, when an external action is detected, the vehicle-mounted camera is turned on to collect a picture, the main camera is selected according to the occurrence position of the external action, the face image in the picture collected by the main camera is matched with the face image of a legal user prestored in the local area, when the matching is unsuccessful, the illegal intruder is determined, and the face image is sent to the preset user, so that the preset user obtains the face image of the illegal intruder to facilitate the automobile tracking, and the user can also provide the face image to the public security agency, and while the face image is taken as an evidence, the public security agency can be assisted to break a case, thereby assisting in improving the working efficiency of the public security agency; in addition, pictures collected by a plurality of vehicle-mounted cameras are continuously obtained and integrated into a combined picture to be sent to a preset user, so that the user can observe the action of an illegal invader in real time; meanwhile, the change of the occurrence position of the external action is monitored in real time, so that the vehicle-mounted camera at the new optimal position is switched to the main camera, and the best observation effect is achieved.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (16)
1. An automobile anti-theft tracking method is applied to an automobile and is characterized by comprising the following steps:
detecting the occurrence of external actions of the automobile;
starting a vehicle-mounted camera and collecting pictures;
extracting a face image from the acquired picture;
matching the extracted face image with a locally stored face image of a legal user;
and if no face image successfully matched exists, judging the human illegal invader corresponding to the extracted face image, and sending the face image of the illegal invader to a preset user.
2. The method of claim 1, wherein the number of onboard cameras is 1 or more.
3. The method according to claim 2, wherein when the number of the in-vehicle cameras is plural, the in-vehicle cameras are distributed inside and/or outside the automobile.
4. The method of claim 3,
the step of starting the vehicle-mounted camera and collecting the picture comprises the following steps:
acquiring the occurrence position of the external action;
selecting a vehicle-mounted camera at the best picture acquisition position as a main camera according to the occurrence position of the external action;
the step of extracting the face image from the collected picture is as follows: and extracting a face image from the picture collected by the main camera.
5. The method of claim 3, wherein the step of transmitting the face image of the intruder to the predetermined user comprises:
continuously acquiring pictures acquired by a vehicle-mounted camera; integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
and sequentially sending the combined pictures obtained by integrating each time point to a preset user.
6. The method of claim 4, further comprising:
detecting that the occurrence position of the external action changes;
acquiring the occurrence position of a new external action;
and according to the occurrence position of the new external action, taking the vehicle-mounted camera at the new optimal picture acquisition position as a main camera.
7. The method according to any one of claims 3 to 6, wherein the selection method of the optimal picture acquisition position comprises:
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
taking the position of the vehicle-mounted camera closest to the position where the external action occurs as an optimal picture acquisition position;
or,
calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera to the whole picture;
taking the position of the vehicle-mounted camera corresponding to the highest proportion as an optimal picture acquisition position;
or,
calculating the distance between each vehicle-mounted camera and the occurrence position of the external action, and calculating the proportion of a face image in the picture acquired by each vehicle-mounted camera to the whole picture;
constructing a vehicle-mounted camera with a distance from the occurrence position of the external action smaller than a preset distance threshold value and a proportion of a face image in the whole picture larger than a preset proportion threshold value into a prepared main camera group;
if the prepared main camera group only comprises one vehicle-mounted camera, taking the position of the vehicle-mounted camera as the optimal picture acquisition position;
if the preparation main camera group comprises a plurality of vehicle-mounted cameras, taking the position of the vehicle-mounted camera in the preparation main camera group, which is closest to the position where the external action occurs, as an optimal picture acquisition position;
and if the spare main camera group does not contain any vehicle-mounted camera, taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
8. The method of claim 1, wherein the step of sending the face image of the intruder to the predetermined user further comprises:
sending prompt information whether the current user is authorized to use the automobile to a preset user;
if an authorization instruction of a preset user is received, starting the automobile;
and if a prohibition instruction of a preset user is received, locking the automobile.
9. An automobile anti-theft tracking system, comprising:
the detection module is used for detecting external actions generated on the automobile;
the acquisition module is used for starting the vehicle-mounted camera and acquiring pictures;
the face image extraction module is used for extracting a face image from the acquired picture;
the matching module is used for matching the extracted face image with a locally stored face image of a legal user, and judging a human illegal invader corresponding to the extracted face image if no face image is successfully matched;
and the sending module is used for sending the face image of the illegal invader to a preset user.
10. The system of claim 9, wherein the number of the onboard cameras is 1 or more.
11. The system according to claim 10, wherein when the number of the vehicle-mounted cameras is plural, the vehicle-mounted cameras are distributed inside and/or outside the vehicle.
12. The method of claim 11, wherein the acquisition module further comprises:
an occurrence position acquisition unit for acquiring an occurrence position of the external action;
the optimal position selection unit is used for selecting a vehicle-mounted camera at an optimal picture acquisition position as a main camera according to the occurrence position of the external action;
the face image extraction module is also used for extracting a face image from the picture collected by the main camera.
13. The system of claim 11, wherein the acquisition module is further configured to continuously acquire the pictures acquired by the vehicle-mounted camera;
the system also comprises a combined picture integration module which is used for integrating the pictures of the plurality of vehicle-mounted cameras collected at each time point into a combined picture; wherein, the proportion of the picture collected by the main camera in the whole combined picture is above 1/2;
and the sending module is also used for sequentially sending the combined pictures obtained by integrating each time point to a preset user.
14. The system of claim 11, wherein the detection module is further configured to sense a change in the occurrence location of the extraneous action;
the occurrence position acquisition unit is also used for acquiring the occurrence position of a new external action;
and the optimal position selection unit is also used for taking the vehicle-mounted camera at the new optimal picture acquisition position as a main camera according to the occurrence position of the new external action.
15. The system according to any one of claims 11-14, wherein the optimal position selection unit further comprises:
the distance calculation unit is used for calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs as an optimal picture acquisition position;
alternatively, the optimal position selection unit further includes:
the proportion calculation unit is used for calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera in the whole picture;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera corresponding to the highest proportion as an optimal picture collecting position;
alternatively, the optimal position selection unit further includes:
the distance calculation unit is used for calculating the distance between each vehicle-mounted camera and the occurrence position of the external action;
the proportion calculation unit is used for calculating the proportion of the face image in the picture acquired by each vehicle-mounted camera in the whole picture;
the device comprises a preparation main camera group construction unit, a preparation main camera group construction unit and a control unit, wherein the preparation main camera group construction unit is used for constructing vehicle-mounted cameras, the distance between the vehicle-mounted cameras and the occurrence position of the external action is smaller than a preset distance threshold value, and the proportion of face images in the whole picture is larger than a preset proportion threshold value;
the optimal position determining unit is used for taking the position of the vehicle-mounted camera as an optimal picture acquisition position if the prepared main camera group only comprises one vehicle-mounted camera; if the prepared main camera group comprises a plurality of vehicle-mounted cameras, the prepared main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs in the prepared main camera group as an optimal picture acquisition position; and if the spare main camera group does not contain any vehicle-mounted camera, the spare main camera group is used for taking the position of the vehicle-mounted camera closest to the position where the external action occurs as the optimal picture acquisition position.
16. The system of claim 9, wherein the sending module is further configured to send a prompt message to a preset user as to whether the current user is authorized to use the vehicle;
the system further comprises:
the receiving module is used for receiving an authorization instruction or a prohibition instruction of a preset user;
the automobile unlocking module is used for starting the automobile if receiving an authorization instruction of a preset user; and if a prohibition instruction of a preset user is received, the automobile locking device is used for locking the automobile.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510888424.0A CN105857252A (en) | 2015-12-07 | 2015-12-07 | Automobile anti-theft tracing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510888424.0A CN105857252A (en) | 2015-12-07 | 2015-12-07 | Automobile anti-theft tracing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105857252A true CN105857252A (en) | 2016-08-17 |
Family
ID=56624393
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510888424.0A Pending CN105857252A (en) | 2015-12-07 | 2015-12-07 | Automobile anti-theft tracing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105857252A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106314356A (en) * | 2016-08-22 | 2017-01-11 | 乐视控股(北京)有限公司 | Control method and control device of vehicle and vehicle |
| CN107128280A (en) * | 2017-05-10 | 2017-09-05 | 深圳了然视觉科技有限公司 | A kind of arrangements for automotive doors system for unlocking |
| CN107284369A (en) * | 2017-07-20 | 2017-10-24 | 谢馥伊 | A kind of shared automobile specified camera group safety-protection system |
| CN107444341A (en) * | 2017-07-25 | 2017-12-08 | 北京新能源汽车股份有限公司 | Automobile control method and device and automobile |
| CN108297831A (en) * | 2018-01-15 | 2018-07-20 | 深圳市智行畅联科技有限公司 | Automotive theft proof system and its implementation based on bio-identification and realization system |
| CN110001578A (en) * | 2019-03-04 | 2019-07-12 | 浙江吉利控股集团有限公司 | Vehicle monitoring method, device and controller based on recognition of face |
| CN111098702A (en) * | 2018-10-09 | 2020-05-05 | 郑州宇通客车股份有限公司 | Anti-theft method and system for passenger car oil tank |
| CN111447406A (en) * | 2019-10-24 | 2020-07-24 | 奥菲(泰州)光电传感技术有限公司 | Multifunctional scene big data monitoring system |
| CN112997191A (en) * | 2020-06-05 | 2021-06-18 | 华为技术有限公司 | Method and device for acquiring driver image |
| CN114267144A (en) * | 2021-12-20 | 2022-04-01 | 中国第一汽车股份有限公司 | Vehicle alarm method and device, automobile and storage medium |
| CN116597584A (en) * | 2022-02-07 | 2023-08-15 | 中移系统集成有限公司 | Vehicle anti-theft alarm method and device based on mobile signaling big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010022550A1 (en) * | 2000-01-28 | 2001-09-20 | Reitter & Schefenacker Gmbh & Co. Kg | Monitoring device for vehicles, in particular, motor vehicles |
| DE102004052262B3 (en) * | 2004-10-27 | 2006-08-17 | Shih-Hsiung Li | Anti-theft protection system for motor vehicles has several cameras attached within or outside motor vehicle, in order to take pictures in the proximity of driver's seat and in the outer surroundings of motor vehicle |
| CN102254169A (en) * | 2011-08-23 | 2011-11-23 | 东北大学秦皇岛分校 | Multi-camera-based face recognition method and multi-camera-based face recognition system |
| CN103693012A (en) * | 2013-12-23 | 2014-04-02 | 杭州电子科技大学 | Automobile anti-theft system |
| CN104494564A (en) * | 2014-12-22 | 2015-04-08 | 清华大学苏州汽车研究院(吴江) | Vehicle anti-theft system based on human face recognition |
| CN104608739A (en) * | 2015-03-14 | 2015-05-13 | 南京阖云骥联信息科技有限公司 | Vehicle anti-theft system and method |
-
2015
- 2015-12-07 CN CN201510888424.0A patent/CN105857252A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010022550A1 (en) * | 2000-01-28 | 2001-09-20 | Reitter & Schefenacker Gmbh & Co. Kg | Monitoring device for vehicles, in particular, motor vehicles |
| DE102004052262B3 (en) * | 2004-10-27 | 2006-08-17 | Shih-Hsiung Li | Anti-theft protection system for motor vehicles has several cameras attached within or outside motor vehicle, in order to take pictures in the proximity of driver's seat and in the outer surroundings of motor vehicle |
| CN102254169A (en) * | 2011-08-23 | 2011-11-23 | 东北大学秦皇岛分校 | Multi-camera-based face recognition method and multi-camera-based face recognition system |
| CN103693012A (en) * | 2013-12-23 | 2014-04-02 | 杭州电子科技大学 | Automobile anti-theft system |
| CN104494564A (en) * | 2014-12-22 | 2015-04-08 | 清华大学苏州汽车研究院(吴江) | Vehicle anti-theft system based on human face recognition |
| CN104608739A (en) * | 2015-03-14 | 2015-05-13 | 南京阖云骥联信息科技有限公司 | Vehicle anti-theft system and method |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106314356A (en) * | 2016-08-22 | 2017-01-11 | 乐视控股(北京)有限公司 | Control method and control device of vehicle and vehicle |
| CN107128280A (en) * | 2017-05-10 | 2017-09-05 | 深圳了然视觉科技有限公司 | A kind of arrangements for automotive doors system for unlocking |
| CN107284369A (en) * | 2017-07-20 | 2017-10-24 | 谢馥伊 | A kind of shared automobile specified camera group safety-protection system |
| CN107444341A (en) * | 2017-07-25 | 2017-12-08 | 北京新能源汽车股份有限公司 | Automobile control method and device and automobile |
| CN108297831A (en) * | 2018-01-15 | 2018-07-20 | 深圳市智行畅联科技有限公司 | Automotive theft proof system and its implementation based on bio-identification and realization system |
| CN111098702A (en) * | 2018-10-09 | 2020-05-05 | 郑州宇通客车股份有限公司 | Anti-theft method and system for passenger car oil tank |
| CN111098702B (en) * | 2018-10-09 | 2022-04-08 | 宇通客车股份有限公司 | Anti-theft method and system for passenger car oil tank |
| CN110001578A (en) * | 2019-03-04 | 2019-07-12 | 浙江吉利控股集团有限公司 | Vehicle monitoring method, device and controller based on recognition of face |
| CN111447406A (en) * | 2019-10-24 | 2020-07-24 | 奥菲(泰州)光电传感技术有限公司 | Multifunctional scene big data monitoring system |
| CN112997191A (en) * | 2020-06-05 | 2021-06-18 | 华为技术有限公司 | Method and device for acquiring driver image |
| WO2021243693A1 (en) * | 2020-06-05 | 2021-12-09 | 华为技术有限公司 | Method and apparatus for collecting image of driver |
| CN114267144A (en) * | 2021-12-20 | 2022-04-01 | 中国第一汽车股份有限公司 | Vehicle alarm method and device, automobile and storage medium |
| CN116597584A (en) * | 2022-02-07 | 2023-08-15 | 中移系统集成有限公司 | Vehicle anti-theft alarm method and device based on mobile signaling big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105857252A (en) | Automobile anti-theft tracing method and system | |
| CN108540579B (en) | Driver identity online monitoring method and device and storage medium | |
| JP6655318B2 (en) | Vehicle security system | |
| KR101233608B1 (en) | Door lock apparatus | |
| US20170124848A1 (en) | Image-based remote observation and alarm device and method for in-car moving objects | |
| EP3372459A1 (en) | Image transmitting device | |
| EP3916647A1 (en) | Information processing apparatus, program, computer readable recording medium, and information processing method | |
| CN108357462A (en) | The method and vehicle of vehicle unlock | |
| US20230027771A1 (en) | Mobile terminal device with function limitation, function limitation method thereof, and processing program used in same | |
| CN113516034B (en) | Keyless entry system and method for vehicle | |
| JP7427463B2 (en) | Vehicle control device, vehicle control method, and vehicle control program | |
| JP2019091230A (en) | Vehicle monitoring system, monitoring device, and information sharing method | |
| CN105459955A (en) | Automobile theft resistant method, device and system based on networking technique | |
| CN113297873A (en) | Vehicle anti-theft method, system and device based on face recognition | |
| CN112215093A (en) | Method and device for evaluating vehicle driving ability level | |
| KR101517683B1 (en) | System and method of managing parking | |
| CN115696241A (en) | Vehicle with emergency notification function | |
| CN108062805B (en) | Vehicle-mounted data processing method and server | |
| KR100859247B1 (en) | Vehicle control device and method | |
| CN102704764A (en) | Door lock system for cab, door lock unlocking control method and device | |
| KR101887268B1 (en) | Fleet management system and method for safety driving | |
| JP3736725B2 (en) | Vehicle anti-theft system | |
| CN112224170A (en) | Vehicle control system and method | |
| Pareek et al. | IoT based prototype for smart vehicle and parking management system | |
| JP2006123650A (en) | In-vehicle monitoring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160817 |