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A detection method, system, electronic device and storage medium for abnormal departure

A detection method and abnormal technology, applied in neural learning methods, collaborative devices, instruments, etc., can solve the problems of large investment in RFID sensor construction, high maintenance costs, and inflexible regional deployment and control, and achieve high detection real-time performance, detection simple effect

Active Publication Date: 2021-06-15
上海闪马智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, patent application 1 (CN106935037A) discloses a composite parking space detection method and detection device based on joint detection of illuminance and geomagnetism, which detects whether there is a vehicle leaving event by using the illumination and the change of the vehicle's passage and the geomagnetism of the geomagnetic coil. Obviously, the non-video solution it uses cannot be directly integrated into the video traffic detector system. At the same time, it needs to cooperate with a large number of pre-embedded coils and the construction of light sensors. The area control is not flexible and cannot be adjusted according to the actual situation.
Patent application 2 (CN203376786U) discloses an RFID-based on-street parking charging system, which uses RFID to sense whether a motor vehicle has left a designated area, and RFID cannot be directly integrated into the video traffic detection system, and RFID is a consumable, and the maintenance cost is high , RFID sensor construction investment is large, it is difficult to ensure a large enough coverage
[0004] It can be seen that for the detection of "abnormal driving away", the existing technology has not effectively solved it, and a simple and efficient detection technology is urgently needed to solve this technical problem

Method used

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  • A detection method, system, electronic device and storage medium for abnormal departure
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  • A detection method, system, electronic device and storage medium for abnormal departure

Examples

Experimental program
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Embodiment 1

[0041] see figure 1 , figure 1 It is a schematic flowchart of a detection method for abnormal driving away disclosed in the embodiment of the present application. Such as figure 1 As shown, a method for detecting abnormal departure in the embodiment of the present application, the method includes:

[0042] S1, according to the traffic situation of the road, set the abnormal monitoring area in the monitoring screen;

[0043] S2, acquiring the traffic video stream through the front-end camera;

[0044] S3, using the deep learning model to detect vehicle information in the video stream picture;

[0045] S4, sending the vehicle information in each frame to the tracking module to obtain the tracking track of the vehicle;

[0046] S5. Based on the tracking track and the abnormal control area, it is judged whether the vehicle has an abnormal departure event. If yes, report the abnormal departure information; if not, return to step S2.

[0047]In the embodiment of this applicati...

Embodiment 2

[0073] see figure 2 , figure 2 It is a schematic structural diagram of a detection system for abnormal departure disclosed in the embodiment of the present application. Such as figure 2 As shown, a detection system for abnormal departure according to an embodiment of the present application, the system includes a control module, a monitoring module, an identification module, a tracking module, and a judgment module, wherein:

[0074]The deployment and control module is used to set abnormal deployment and control areas in the monitoring screen according to road traffic conditions;

[0075] The monitoring module is used to obtain the traffic video stream through the front-end camera, and send the traffic video stream to the identification module;

[0076] The identification module is used to detect the vehicle information in the video stream picture by using the deep learning model, and send the vehicle information in each frame to the tracking module;

[0077] The tracki...

Embodiment 3

[0081] see image 3 , image 3 It is an electronic device disclosed in the embodiment of this application, characterized in that: the device includes:

[0082] a memory storing executable program code;

[0083] a processor coupled to the memory;

[0084] The processor invokes the executable program code stored in the memory to execute the method described in the first embodiment.

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Abstract

The application provides a detection method, system, electronic equipment and storage medium for abnormal driving away, which belong to the field of detection technology, and the method includes: S1, setting an abnormal control area in the monitoring screen according to the road traffic conditions; S2, obtaining through the front-end camera Traffic video stream; S3, use the deep learning model to detect vehicle information in the video stream screen; S4, send the vehicle information in each frame to the tracking module to obtain the tracking track of the vehicle; S5, judge based on the tracking track and abnormal control area Whether the vehicle has an abnormal departure event, if so, report the abnormal departure information; if not, return to step S2. Compared with the use of embedded coils and light sensors in the prior art, or the use of RFID technology for abnormal departure detection, the solution of this application does not need to lay out expensive infrastructure, and can be realized based on existing road monitoring equipment. Moreover, the detection principle is simple, which can ensure high detection real-time performance and accuracy.

Description

technical field [0001] The present application relates to the technical field of traffic event detection, in particular, to a detection method, system, electronic equipment and storage medium for abnormal driving away. Background technique [0002] In the national standard GBT 28789-2012, it is clearly stipulated that the video traffic event detector needs to have the ability to detect the event of motor vehicle leaving. In practice, the event often indicates that the motor vehicle may have an accident and other follow-up events that disrupt the overall road traffic flow. It is an important event used to prevent and early discover traffic hazards. Traffic governance and early detection of incidents are of great significance. [0003] After searching the prior art, the applicant found that there are not many relevant studies. For example, patent application 1 (CN106935037A) discloses a composite parking space detection method and detection device based on joint detection of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K17/00G06N3/04G06N3/08
CPCG06K17/0029G06N3/08G06V20/56G06V20/52G06N3/045
Inventor 林亦宁赵之健
Owner 上海闪马智能科技有限公司
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