Traffic signal lamp fault detection method
A technology for traffic lights and fault detection, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as high cost of video recognition and detection methods, yellowish red lights, camera shake, etc.
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[0087]The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0088] Such as figure 1 The illustrated embodiment is a traffic signal lamp failure detection method, comprising the steps of:
[0089] (1-1) Obtain electronic police video streams under sunny, cloudy, and rainy conditions, decode electronic police video streams, and obtain traffic signal image information, position information of traffic signal light groups in the image, and each signal light in the traffic signal light group type information and location information;
[0090] (1-2) Configure the traffic signal light group information and the information of each signal light in the light group:
[0091] (1-2-1) Configure signal light group information:
[0092] Setting the detection area and the light group area of the signal light group, if the detected position of the signal light is within the set light group area, counting the type and...
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