Intelligent vehicle safety belt detection method and intelligent detection system
An intelligent detection, seat belt technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problem of low detection efficiency of vehicle seat belts, and achieve improved detection accuracy, high accuracy and fast running speed. Effect
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specific Embodiment 1
[0148] Intelligent monitoring of vehicles on the expressway captures pictures of the vehicle, reads the image data in the picture, and detects that there are two people in the car based on the image data of the picture, namely the driver and the co-pilot, and determines the driver's personal area and the co-pilot's personal area area; edge detection is performed on the image data in the two body areas, and it is judged that there are parallel straight line pairs in the two body areas, and it is judged that the people in the car in this picture are all equipped with seat belts.
specific Embodiment 2
[0149] Intelligent monitoring of vehicles on the expressway captures pictures of the vehicle, reads the image data in the picture, and detects that there are two people in the car based on the image data of the picture, namely the driver and the co-pilot, and determines the driver's personal area and the co-pilot's personal area area; edge detection is performed on the image data in the two personal areas, and it is judged that there are parallel straight line pairs in the driver's personal area and there is no parallel straight line pair in the copilot's personal area. Filter the image data of the co-pilot's body area, extract the evaluation parameters and classification feature vectors, input the classification feature vector corresponding to the co-pilot's body area into the trained classifier, and determine the corresponding classification of the co-pilot's body area. The result is that the vehicle is wearing a seat belt, and it is determined that all the people in the car ...
specific Embodiment 3
[0150] Intelligent monitoring of vehicles on the expressway captures pictures of the vehicle, reads the image data in the picture, and detects that there are two people in the car based on the image data of the picture, namely the driver and the co-pilot, and determines the driver's personal area and the co-pilot's personal area area; edge detection is performed on the image data in the two personal areas, and it is judged that there are parallel straight line pairs in the personal area of the co-pilot and no parallel straight line pairs in the personal area of the driver. Filter the image data of the driver's body area, extract the evaluation parameters and classification feature vectors, input the classification feature vectors corresponding to the driver's body area into the trained classifier, and determine the wearing result corresponding to the driver's body area as Wear seat belts. It is determined that all the people in the car in this picture are wearing seat belts...
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