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
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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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