Bank hall customer moving-line trajectory characterization system and method based on deep learning
A deep learning and customer technology, applied in special data processing applications, instruments, biological neural network models, etc., can solve problems such as the inability to meet social service needs, and achieve good promotion and application value, good service, and improved understanding.
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[0032] Such as figure 1 As shown, the deep learning-based customer movement track depiction system in the bank hall of the present invention includes a data collection module, a data processing module and a customer retrieval module. The data collection module is connected with the data processing module, and the data processing module is connected with the customer retrieval module.
[0033] The data collection module uses a high-definition camera to collect video data of customers in the bank lobby, and transmits the collected video data to the data processing module. According to the video data transmitted by the data collection module, the data processing module extracts images from the video at intervals of 1s, and uses the abelImg tool to mark the outline and position of the customer in each image. The customer retrieval module builds a neural network model according to the Faster R-CNN framework, and the convolution layer uses the pre-trained VGG16 convolution layer. ...
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