CN117727186A - Vehicle video detection method and readable storage medium - Google Patents
Vehicle video detection method and readable storage medium Download PDFInfo
- Publication number
- CN117727186A CN117727186A CN202311779188.XA CN202311779188A CN117727186A CN 117727186 A CN117727186 A CN 117727186A CN 202311779188 A CN202311779188 A CN 202311779188A CN 117727186 A CN117727186 A CN 117727186A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- information
- video
- traffic
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 84
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 13
- 206010039203 Road traffic accident Diseases 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 11
- 239000002131 composite material Substances 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 description 30
- 150000001875 compounds Chemical class 0.000 description 6
- 230000002349 favourable effect Effects 0.000 description 6
- 210000000744 eyelid Anatomy 0.000 description 4
- 210000003128 head Anatomy 0.000 description 4
- 241001282135 Poromitra oscitans Species 0.000 description 2
- 206010048232 Yawning Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Abstract
The invention discloses a vehicle video detection method and a readable storage medium, which belong to the technical field of vehicle video detection and comprise the following steps: collecting video information in a traffic area through a video detection module; the video information is transmitted to a vehicle detection module, a vehicle article identification module and a driver identification module; when the processor judges that the license plate is unable to be identified due to the license plate shielding condition of the video information, the processor communicates with the vehicle article identification module, the driver identification module and another rotary camera on the path to automatically identify the license plate number of the shielded vehicle in the area; the traffic hit-and-run early warning system is communicated with the electronic police management system to monitor the abnormal vehicles for traffic hit-and-run. Through the mode, when license plate number shielding exists, license plate information of the vehicle can be obtained; the method is beneficial to obtaining complete illegal vehicle information; the electronic police management system can be reminded to inquire abnormal vehicles, and monitoring of traffic hit-and-run is achieved.
Description
Technical Field
The invention relates to the technical field of vehicle video detection, in particular to a vehicle video detection method and a readable storage medium.
Background
Road safety management requires knowledge and management of the conditions of the vehicle and the driver.
Because factors such as license plate cannot be known due to the fact that a front vehicle shields a rear vehicle in the running process of the vehicle, complete vehicle information cannot be obtained, and the accuracy of vehicle detection is low; meanwhile, because the license plate is shielded, complete information is difficult to transmit to an electronic police management system when the illegal behaviors of a driver are acquired, and therefore, great potential safety hazards exist; moreover, it is currently difficult to achieve monitoring of the occurrence of traffic incidents on abnormal vehicles.
Based on this, the present invention has devised a vehicle video detection method and a readable storage medium to solve the above-mentioned problems.
Disclosure of Invention
In view of the foregoing drawbacks of the prior art, the present invention provides a vehicle video detection method and readable storage medium.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
a vehicle video detection method comprising the steps of:
s1, collecting video information in a traffic area through a video detection module;
s2, transmitting the video information A to a vehicle detection module, a vehicle article identification module and a driver identification module;
the vehicle detection module recognizes license plate, vehicle type, color, automobile brand and appearance information of each vehicle in the video and transmits the information to the processor;
the vehicle article identification module identifies article information on each vehicle, binds the article information with corresponding vehicle information, and transmits the information to the processor;
the driver identification module identifies the information of the driver, binds the information with the corresponding vehicle information, and transmits the information to the processor and the illegal action monitoring module; when distraction driving and/or fatigue driving and/or illegal actions exist, the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system;
s3, when the processor judges that the license plate cannot be identified due to the license plate shielding condition of the video information A, the processor communicates with the vehicle article identification module, the driver identification module and another adjacent rotary camera on the path to automatically identify the license plate number of the shielded vehicle in the area;
the other adjacent rotary camera transmits the video information B to the vehicle detection module, the vehicle object identification module identifies the same object in the vehicle, the driver identification module identifies the same driver information of the vehicle, and the vehicle type, the color, the automobile brand and the appearance information of the vehicle are combined to judge the same vehicle, so that the vehicle detection module acquires license plate information of the blocked vehicle in the video information B and transmits the license plate information to the processor; the processor binds the license plate information with the video information A, so that the license plate information of the blocked vehicle can be obtained in the video information A as well;
s4, the processor receives the appearance information of each vehicle identified by the vehicle detection module, judges whether the concave damage exists, and transmits the appearance information to a traffic accident escape early warning system if the concave damage exists; the traffic hit-and-run early warning system is communicated with the electronic police management system to monitor the abnormal vehicles for traffic hit-and-run.
And S5, the processor sends an instruction to the vehicle detection module, transmits the vehicle information to the traffic event detection module, and acquires and manages traffic conditions.
Still further, the video detection module includes a plurality of rotary cameras for detecting traffic areas, the rotary cameras being respectively installed on a driving path of the vehicle.
Further, the driver information includes the face, clothing, and driving state information of the driver.
Further, the illegal behavior monitoring module judges whether the driver has split driving and/or fatigue driving and/or illegal actions according to the face and the driving state information; when the distraction driving and/or the fatigue driving and/or the illegal action exist, the processor sends an instruction to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system.
The distraction driving action comprises watching a mobile phone, making a call and the like; the fatigue driving action comprises that the eye closing time exceeds a preset value, the yawning times exceed a preset value, the head counting times exceed a preset value, the duration time of the head is lower than a preset value, the driving time exceeds a preset value and the like; illegal actions include unbelting, window throws, etc.
The driving state information includes eyelid information and motion information;
the eyelid information can be used for obtaining whether the driver is distracted; if the number of distraction exceeds a preset value, for example, 3 times, judging that distraction driving exists;
the action information comprises distraction driving actions, fatigue driving actions and illegal actions;
when one of the distraction driving action, the fatigue driving action, and the illegal action occurs, but a preset number of times, for example, 2 times; or when two or more of the distraction driving action, the fatigue driving action and the illegal action occur, determining that the distraction driving and/or the fatigue driving and/or the illegal action exist.
Further, when there is distraction driving and/or fatigue driving and/or illegal action, the processor sends instructions to the illegal video transmission module and the vehicle detection module, binds the illegal video and the vehicle information together and transmits the bound illegal video and the bound vehicle information to the electronic police management system, and the method comprises the following steps:
the picture intercepting module intercepts a plurality of pictures of distraction driving, fatigue driving and illegal actions;
the video synthesis module synthesizes a plurality of pictures into a composite video;
the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the composite video and the vehicle information are bound together and transmitted to the electronic police management system.
Further, if the video information display of two adjacent rotary cameras shields license plate information, the processor controls the rotary cameras behind the path to rotate for a certain angle so as to shoot the license plate information; the processor communicates with the vehicle item identification module, the driver identification module, and the rear rotating cameras on the path to automatically identify the license plate number of the blocked vehicle in the area.
Furthermore, the traffic accident escape early warning system is communicated with the electronic police management system to acquire whether the pit has warning information, if the pit has warning information, the traffic accident escape early warning system is normal in behavior, if the pit does not have warning information, the traffic accident escape early warning system is communicated with the electronic police management system to acquire a vehicle running track, whether the traffic accident escape behavior exists in a vehicle running track area is determined, if the traffic accident escape behavior does not exist, a processor does not need to process, if the traffic accident escape early warning system does not exist, the processor sends an instruction to the traffic accident escape early warning system and the vehicle detection module, the early warning information and the vehicle information are bound together and transmitted to the electronic police management system, the electronic police management system is reminded of inquiring the vehicle, and the abnormal vehicle is monitored for the traffic accident escape.
Further, the traffic event detection module outputs traffic flow, speed and traffic flow density information, judges whether traffic jam or accident parking exists, if yes, transmits traffic abnormal information to the electronic police management system, and if not, does not process.
Further, the appearance information includes front face appearance information and rear face appearance information.
A readable storage medium having stored thereon instructions which when executed by a processor perform the steps of the vehicle video detection method.
Advantageous effects
Firstly, in the vehicle detection process, when the license plate number of an automobile is blocked in a video, the license plate information of the automobile is acquired by communicating with another adjacent rotary camera and by means of a vehicle object identification module and a driver identification module; specifically, the other adjacent rotary camera transmits video information B to the vehicle detection module, the vehicle object recognition module recognizes the same object in the vehicle, the driver recognition module recognizes the same driver face information of the vehicle, and meanwhile, the vehicle model, the color, the automobile brand, the front face appearance and the rear face appearance information of the vehicle are combined to judge the same vehicle, and then the vehicle detection module acquires license plate information of the shielded vehicle in the video information B and transmits the license plate information to the processor; the processor binds the license plate information with the video information A, so that the license plate information of the blocked vehicle can be obtained in the video information A as well; if the video information display of two adjacent rotary cameras shields license plate information, the processor controls the rotary cameras behind the path to rotate for a certain angle so as to shoot the license plate information; the processor is communicated with the vehicle article identification module, the driver identification module and the rotary camera at the rear part of the path to automatically identify the license plate number of the shielded vehicle in the area;
secondly, when the appearance of the front face and the appearance of the rear face of the vehicle are concave, the traffic accident escape warning system can be communicated with the electronic police management system, and when no warning information exists and traffic accident escape behaviors exist in the vehicle running track area, the electronic police management system can be reminded of inquiring the vehicle, so that the abnormal vehicle is monitored; specifically, the traffic hit-and-run early warning system is communicated with the electronic police management system to acquire whether the front face depression/the rear face depression have warning information or not, wherein the front face depression and the rear face depression are possibly caused by the occurrence of behaviors such as collision of people and vehicles; if the warning information exists, the behavior is normal, if the warning information does not exist, the behavior is abnormal, the warning information is communicated with the electronic police management system to acquire a vehicle running track, whether traffic hit-and-run behavior exists in a vehicle running track area or not is determined, if the traffic hit-and-run behavior does not exist, processing is not needed, if the traffic hit-and-run behavior exists, a processor sends an instruction to a traffic hit-and-run early warning system and a vehicle detection module, the early warning information and the vehicle information are bound together and transmitted to the electronic police management system, and the electronic police management system is reminded of inquiring the vehicle, so that monitoring of traffic hit-and-run of abnormal vehicles is realized;
moreover, by monitoring and identifying the illegal behaviors of the driver, the invention can intercept a plurality of pictures of the distraction driving, the fatigue driving and the illegal actions and compound the pictures into a compound video when the distraction driving and/or the fatigue driving and/or the illegal actions exist, and then transmit the compound video to an electronic police management system; the electronic police management system is favorable for quickly acquiring the illegal action video to acquire complete illegal vehicle information, and the video is only composed of a plurality of pictures, so that the electronic police management system is small in capacity and favorable for reducing the storage space;
finally, the traffic event detection module can judge whether traffic jam or accident parking exists, so that the traffic situation can be acquired and managed; specifically, the processor sends an instruction to the vehicle detection module, vehicle information is transmitted to the traffic event detection module, the traffic event detection module outputs traffic flow, speed and traffic flow density information, whether traffic jam or accident parking exists or not is judged, if yes, traffic abnormal information is transmitted to the electronic police management system, and if not, the processing is not performed; the method is beneficial to realizing the knowledge and management of traffic conditions.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic diagram of a vehicle video detection method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1
Referring to fig. 1 of the specification, a vehicle video detection method includes the following steps:
s1, collecting video information in a traffic area through a video detection module;
preferably, the video detection module comprises a plurality of rotary cameras for detecting a certain traffic area, and the rotary cameras are respectively arranged on the running path of the vehicle; the rotary camera can rotate and adjust the position of the photographed traffic area according to the requirement;
s2, transmitting the video information A to a vehicle detection module, a vehicle article identification module and a driver identification module;
the vehicle detection module recognizes license plate, vehicle type, color, automobile brand, front face appearance and rear face appearance information of each vehicle in the video, and transmits the information to the processor;
the vehicle article identification module identifies article information on each vehicle, binds the article information with corresponding vehicle information, and transmits the information to the processor;
the driver identification module identifies the face, clothes and driving state information of the driver, binds the face, clothes and driving state information with corresponding vehicle information, and transmits the information to the processor and the illegal behavior monitoring module;
the illegal behavior monitoring module judges whether the driver has split driving and/or fatigue driving and/or illegal actions according to the face and the driving state information; when distraction driving and/or fatigue driving and/or illegal actions exist, the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system; the electronic police management system can detect multiple behaviors of distraction driving, fatigue driving and illegal actions at the same time, and prompts the electronic police management system when the illegal actions exist, so that the danger of vehicles and pedestrians can be avoided;
the driving state information includes eyelid information and motion information;
the eyelid information can be used for obtaining whether the driver is distracted; if the number of distraction exceeds a preset value, for example, 3 times, judging that distraction driving exists;
the action information comprises distraction driving actions, fatigue driving actions and illegal actions;
when one of the distraction driving action, the fatigue driving action, and the illegal action occurs, but a preset number of times, for example, 2 times; or when two or more of the distraction driving action, the fatigue driving action and the illegal action occur, judging that the distraction driving and/or the fatigue driving and/or the illegal action exist;
when distraction driving and/or fatigue driving and/or illegal actions exist, the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system, and the method comprises the following steps:
the picture intercepting module intercepts a plurality of pictures of distraction driving, fatigue driving and illegal actions;
the video synthesis module synthesizes a plurality of pictures into a composite video;
the processor sends an instruction to the illegal video transmission module and the vehicle detection module, and binds the composite video and the vehicle information together and transmits the bound composite video and the bound vehicle information to the electronic police management system; the electronic police management system is favorable for quickly acquiring the illegal action video to acquire complete illegal vehicle information, and the video is only composed of a plurality of pictures, so that the electronic police management system is small in capacity and favorable for reducing the storage space;
s3, when the processor judges that the license plate cannot be identified due to the license plate shielding condition of the video information A, the processor communicates with the vehicle article identification module, the driver identification module and another adjacent rotary camera on the path to automatically identify the license plate number of the shielded vehicle in the area;
transmitting the video information B to a vehicle detection module by the other adjacent rotary camera, identifying the same articles in the vehicle by a vehicle article identification module, identifying the same face information of the driver by the driver identification module, and simultaneously judging the same vehicle by combining the type, the color, the automobile brand, the front face appearance and the rear face appearance information of the vehicle, further acquiring license plate information of the shielded vehicle in the video information B by the vehicle detection module, and transmitting the license plate information to a processor; the processor binds the license plate information with the video information A, so that the license plate information of the blocked vehicle can be obtained in the video information A as well;
if the video information display of two adjacent rotary cameras shields license plate information, the processor controls the rotary cameras behind the path to rotate for a certain angle so as to shoot the license plate information; the processor is communicated with the vehicle article identification module, the driver identification module and the rotary camera at the rear part of the path to automatically identify the license plate number of the shielded vehicle in the area;
s4, the processor receives the front face appearance and the rear face appearance information of each vehicle identified by the vehicle detection module, judges whether concave damage exists, and transmits the concave damage to a traffic accident escape early warning system if the concave damage exists;
the traffic hit-and-run early warning system is communicated with the electronic police management system to acquire whether the front face depression/the rear face depression have warning information or not, wherein the front face depression and the rear face depression are possibly caused by the occurrence of behaviors such as collision of people and vehicles; if the warning information exists, the behavior is normal, if the warning information does not exist, the behavior is abnormal, the warning information is communicated with the electronic police management system to acquire a vehicle running track, whether traffic hit-and-run behavior exists in a vehicle running track area or not is determined, if the traffic hit-and-run behavior does not exist, processing is not needed, if the traffic hit-and-run behavior exists, a processor sends an instruction to a traffic hit-and-run early warning system and a vehicle detection module, the early warning information and the vehicle information are bound together and transmitted to the electronic police management system, and the electronic police management system is reminded of inquiring the vehicle, so that monitoring of traffic hit-and-run of abnormal vehicles is realized;
s5, the processor sends an instruction to the vehicle detection module, vehicle information is transmitted to the traffic event detection module, the traffic event detection module outputs information of traffic flow, speed and density, whether traffic jam or accident parking exists or not is judged, if yes, abnormal traffic information is transmitted to the electronic police management system, and if not, the abnormal traffic information is not processed; the method is beneficial to realizing the knowledge and management of traffic conditions.
In summary, the invention has the following technical effects:
in the vehicle detection process, when the license plate number of an automobile is blocked in a video, the license plate information of the automobile is acquired by communicating with another adjacent rotary camera and by means of a vehicle object identification module and a driver identification module; specifically, the other adjacent rotary camera transmits video information B to the vehicle detection module, the vehicle object recognition module recognizes the same object in the vehicle, the driver recognition module recognizes the same driver face information of the vehicle, and meanwhile, the vehicle model, the color, the automobile brand, the front face appearance and the rear face appearance information of the vehicle are combined to judge the same vehicle, and then the vehicle detection module acquires license plate information of the shielded vehicle in the video information B and transmits the license plate information to the processor; the processor binds the license plate information with the video information A, so that the license plate information of the blocked vehicle can be obtained in the video information A as well; if the video information display of two adjacent rotary cameras shields license plate information, the processor controls the rotary cameras behind the path to rotate for a certain angle so as to shoot the license plate information; the processor is communicated with the vehicle article identification module, the driver identification module and the rotary camera at the rear part of the path to automatically identify the license plate number of the shielded vehicle in the area;
secondly, when the appearance of the front face and the appearance of the rear face of the vehicle are concave, the traffic accident escape warning system can be communicated with the electronic police management system, and when no warning information exists and traffic accident escape behaviors exist in the vehicle running track area, the electronic police management system can be reminded of inquiring the vehicle, so that the abnormal vehicle is monitored; specifically, the traffic hit-and-run early warning system is communicated with the electronic police management system to acquire whether the front face depression/the rear face depression have warning information or not, wherein the front face depression and the rear face depression are possibly caused by the occurrence of behaviors such as collision of people and vehicles; if the warning information exists, the behavior is normal, if the warning information does not exist, the behavior is abnormal, the warning information is communicated with the electronic police management system to acquire a vehicle running track, whether traffic hit-and-run behavior exists in a vehicle running track area or not is determined, if the traffic hit-and-run behavior does not exist, processing is not needed, if the traffic hit-and-run behavior exists, a processor sends an instruction to a traffic hit-and-run early warning system and a vehicle detection module, the early warning information and the vehicle information are bound together and transmitted to the electronic police management system, and the electronic police management system is reminded of inquiring the vehicle, so that monitoring of traffic hit-and-run of abnormal vehicles is realized;
moreover, by monitoring and identifying the illegal behaviors of the driver, the invention can intercept a plurality of pictures of the distraction driving, the fatigue driving and the illegal actions and compound the pictures into a compound video when the distraction driving and/or the fatigue driving and/or the illegal actions exist, and then transmit the compound video to an electronic police management system; the electronic police management system is favorable for quickly acquiring the illegal action video to acquire complete illegal vehicle information, and the video is only composed of a plurality of pictures, so that the electronic police management system is small in capacity and favorable for reducing the storage space;
finally, the traffic event detection module can judge whether traffic jam or accident parking exists, so that the traffic situation can be acquired and managed; specifically, the processor sends an instruction to the vehicle detection module, vehicle information is transmitted to the traffic event detection module, the traffic event detection module outputs traffic flow, speed and traffic flow density information, whether traffic jam or accident parking exists or not is judged, if yes, traffic abnormal information is transmitted to the electronic police management system, and if not, the processing is not performed; the method is beneficial to realizing the knowledge and management of traffic conditions.
Example 2
On the basis of the embodiment, the distraction driving action comprises watching a mobile phone, making a call and the like; the fatigue driving action comprises that the eye closing time exceeds a preset value, the yawning times exceed a preset value, the head counting times exceed a preset value, the duration time of the head is lower than a preset value, the driving time exceeds a preset value and the like; illegal actions include unbelting, window throws, etc.
Example 3
The invention also discloses a readable storage medium, wherein the readable storage medium is stored with instructions which when executed by a processor realize the steps of the vehicle video detection method.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A vehicle video detection method, characterized by comprising the steps of:
s1, collecting video information in a traffic area through a video detection module;
s2, transmitting the video information A to a vehicle detection module, a vehicle article identification module and a driver identification module;
the vehicle detection module recognizes license plate, vehicle type, color, automobile brand and appearance information of each vehicle in the video and transmits the information to the processor;
the vehicle article identification module identifies article information on each vehicle, binds the article information with corresponding vehicle information, and transmits the information to the processor;
the driver identification module identifies the information of the driver, binds the information with the corresponding vehicle information, and transmits the information to the processor and the illegal action monitoring module; when distraction driving and/or fatigue driving and/or illegal actions exist, the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system;
s3, when the processor judges that the license plate cannot be identified due to the license plate shielding condition of the video information A, the processor communicates with the vehicle article identification module, the driver identification module and another adjacent rotary camera on the path to automatically identify the license plate number of the shielded vehicle in the area;
the other adjacent rotary camera transmits the video information B to the vehicle detection module, the vehicle object identification module identifies the same object in the vehicle, the driver identification module identifies the same driver information of the vehicle, and the vehicle type, the color, the automobile brand and the appearance information of the vehicle are combined to judge the same vehicle, so that the vehicle detection module acquires license plate information of the blocked vehicle in the video information B and transmits the license plate information to the processor; the processor binds the license plate information with the video information A, so that the license plate information of the blocked vehicle can be obtained in the video information A as well;
s4, the processor receives the appearance information of each vehicle identified by the vehicle detection module, judges whether the concave damage exists, and transmits the appearance information to a traffic accident escape early warning system if the concave damage exists; the traffic hit-and-run early warning system is communicated with the electronic police management system to monitor the abnormal vehicles for traffic hit-and-run.
And S5, the processor sends an instruction to the vehicle detection module, transmits the vehicle information to the traffic event detection module, and acquires and manages traffic conditions.
2. The vehicle video detection method according to claim 1, wherein the video detection module includes a plurality of rotary cameras for detecting traffic areas, the rotary cameras being respectively installed on a traveling path of the vehicle.
3. The vehicle video detection method according to claim 2, wherein the information of the driver includes face, clothing, driving state information of the driver.
4. The vehicle video detection method according to claim 3, wherein the illegal activity monitoring module judges whether the driver has split driving and/or fatigue driving and/or illegal activity according to the face and driving state information; when the distraction driving and/or the fatigue driving and/or the illegal action exist, the processor sends an instruction to the illegal video transmission module and the vehicle detection module, and the illegal video and the vehicle information are bound together and transmitted to the electronic police management system.
5. The vehicle video detection method according to claim 4, wherein when there is distracted driving and/or tired driving and/or illegal action, the processor issues an instruction to the illegal video transmission module and the vehicle detection module to bind the illegal video and the vehicle information together and transmit them to the electronic police management system, comprising the steps of:
the picture intercepting module intercepts a plurality of pictures of distraction driving, fatigue driving and illegal actions;
the video synthesis module synthesizes a plurality of pictures into a composite video;
the processor sends instructions to the illegal video transmission module and the vehicle detection module, and the composite video and the vehicle information are bound together and transmitted to the electronic police management system.
6. The vehicle video detection method according to claim 5, wherein if the video information display of two adjacent rotating cameras each cover license plate information, the processor controls the rotating camera behind the path to rotate by a certain angle so as to shoot the license plate information; the processor communicates with the vehicle item identification module, the driver identification module, and the rear rotating cameras on the path to automatically identify the license plate number of the blocked vehicle in the area.
7. The method for detecting vehicle video according to claim 6, wherein the traffic hit-and-run early warning system communicates with the electronic police management system to determine whether the pit has warning information, if so, the traffic hit-and-run early warning system has normal behavior, if not, the traffic hit-and-run early warning system communicates with the electronic police management system to acquire a vehicle running track, and to determine whether the traffic hit-and-run behavior exists in the vehicle running track area, if not, the traffic hit-and-run early warning system and the vehicle detection module are instructed by the processor, the early warning information and the vehicle information are bound together to be transmitted to the electronic police management system, the electronic police management system is reminded of inquiring the vehicle, and the abnormal vehicle is monitored for the traffic hit-and-run.
8. The method according to claim 7, wherein the traffic event detection module outputs traffic flow, speed, traffic flow density information, judges whether there is traffic jam or accident parking, if yes, transmits traffic abnormality information to the electronic police management system, and if not, does not process.
9. The vehicle video detection method according to claim 8, wherein the appearance information includes front face appearance information and rear face appearance information.
10. A readable storage medium having instructions stored thereon, which when executed by a processor, implement the steps of the vehicle video detection method of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311779188.XA CN117727186A (en) | 2023-12-22 | 2023-12-22 | Vehicle video detection method and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311779188.XA CN117727186A (en) | 2023-12-22 | 2023-12-22 | Vehicle video detection method and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117727186A true CN117727186A (en) | 2024-03-19 |
Family
ID=90201396
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311779188.XA Pending CN117727186A (en) | 2023-12-22 | 2023-12-22 | Vehicle video detection method and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117727186A (en) |
-
2023
- 2023-12-22 CN CN202311779188.XA patent/CN117727186A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9491420B2 (en) | Vehicle security with accident notification and embedded driver analytics | |
| US8144002B2 (en) | Alarm system for alerting driver to presence of objects | |
| CN109466488B (en) | Automatic vehicle collision rescue alarm system | |
| US20220406073A1 (en) | Obstacle detection and notification for motorcycles | |
| CN102555982B (en) | Safety belt wearing identification method and device based on machine vision | |
| CN110738150B (en) | Camera linkage snapshot method and device and computer storage medium | |
| CN106920293A (en) | The automatic log analysis methodology of car accident | |
| WO2020181840A1 (en) | Method and system for monitoring distracted driving, and electronic device | |
| CN109671270B (en) | Driving accident processing method and device and storage medium | |
| US20180086307A1 (en) | Device and method for monitoring a vehicle, particularly for the management of loss events | |
| CN114360210A (en) | Vehicle fatigue driving early warning system | |
| WO2020101154A1 (en) | Event detection system for analyzing and storing real-time other-user vehicle speed and distance | |
| US20200094820A1 (en) | Automatically assessing and reducing vehicular incident risk | |
| CN112560546A (en) | Throwing behavior detection method and device and storage medium | |
| CN112907979B (en) | System and method for tracking illegal running track of motor vehicle based on multiple cameras | |
| CN113066291A (en) | Monitoring method and device | |
| CN117727186A (en) | Vehicle video detection method and readable storage medium | |
| CN116704644A (en) | Automobile management and control platform based on cloud data processing and multi-source data analysis | |
| SE1150117A1 (en) | Procedure and system for monitoring a motor vehicle from the point of view of intrusion | |
| JP7057074B2 (en) | On-board unit and driving support device | |
| CA3055944A1 (en) | Automatic real-time detection of vehicular incidents | |
| KR20170102403A (en) | Big data processing method and Big data system for vehicle | |
| CN114360224A (en) | Danger distinguishing and early warning system, method and device for automobile running red light | |
| CN113470213A (en) | Data processing method and device, vehicle-mounted terminal equipment and server | |
| CN111275982A (en) | Illegal vehicle big data reporting system based on lane detection |
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 |