4S store potential customer behavior analysis system based on Reid and face recognition technology
A face recognition and behavior analysis technology, applied in character and pattern recognition, image analysis, biometric identification, etc., can solve the problems of unable to remove repeated passenger flow counts, unable to obtain customer trajectories, unable to obtain customer characteristics, etc., to achieve high-quality personality Streamlined content push, removal of duplicate passenger flow, and better user experience
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[0024] Such as figure 1 , figure 2 As shown, a 4S store potential customer behavior analysis system based on Reid and face recognition technology includes the following steps:
[0025] Step (1). Decode from the surveillance video stream, extract picture frames at intervals, use the pedestrian detection deep neural network model, detect pedestrians in the picture frames, and intercept all human body pictures therein.
[0026] Step (2). Analyze each human body picture described in the previous step. Use the pedestrian recognition neural network model to extract the human body feature vector, compare the human body feature vector to be recognized with the current store in the redis database, and compare all the human body feature records of the day to calculate the cosine distance. If the minimum value of all distance values is less than the distance threshold, it is considered that the pictures corresponding to the two human feature vectors are the same person, otherwise it...
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