Customer visit trajectory tracking and passenger flow analysis system and method
A technology of passenger flow analysis and trajectory tracking, which is applied in the direction of instruments, electronic digital data processing, computer parts, etc., can solve the problems of low customer experience, avoid customer loss, improve user experience and transaction rate, and avoid crowding and crowding the effect of the situation
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Embodiment 1
[0036] A customer visit trajectory tracking and passenger flow analysis system, basically as figure 1 As shown, it includes cameras and servers installed in the sales office, and the server includes input modules, processing modules and output modules, where:
[0037] The input module is used to obtain the video image collected by the camera;
[0038] The processing module is used to extract the face image in the video image according to the face recognition algorithm, and count the number of people information according to the face image, and if the number of people information is greater than the first preset threshold, then extract the person whose stay time is longer than the second preset threshold The face image of the visiting customer; the face recognition algorithm is similar to the existing Hikvision face recognition technology, and the common face detection algorithms on the market are the process of "scanning" and "discrimination", that is, the algorithm The proce...
Embodiment 2
[0047] Compared with Embodiment 1, the only difference is that the processing module is also used to judge the customer's face image according to the pre-trained facial expression detection model, and if the facial expression is angry, it will prompt the real estate consultant. Specifically, in order to reduce development costs, this system is connected to the expression recognition API interface provided by Microsoft; and in the prior art, the facial expression detection model mainly learns from a large number of face pictures through a convolutional neural network to extract facial features, including The change information of eyebrows, eyes, eyelids, lips, etc. is used as the basis for judging expressions. For example: Anger is specifically manifested as frowning and straightening of the corners of the lips. Avoid customer churn by alerting real estate advisors to focus on customers with angry facial expressions
[0048] In another embodiment, the processing module is also...
Embodiment 3
[0051] Compared with Embodiment 1, the only difference is that the processing module is also used to receive the video image, and locate the real estate consultant in the video image according to the face recognition algorithm and the historical face images of the real estate consultant prestored in the database; The judging module is also used to receive and process the human body image of the real estate consultant and the human body image of the customer in the video image. If the distance information between the human body image of the real estate consultant and the human body image of the customer is greater than the threshold (30cm), it is determined that the real estate consultant currently has no service Customer; if there are multiple real estate consultant human body images in the video image, then judge the interval distance between each real estate consultant human body image, extract the real estate consultant face images with a separation distance less than the thr...
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Abstract
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