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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.

Inactive Publication Date: 2018-10-02
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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  • Application Information

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Problems solved by technology

Especially in recent years, with the increase of income level, more and more people have begun to pay attention to financial management business, and banks have correspondingly launched more and more financial management service models. The traditional banking business model can no longer meet the increasingly rapid development of social services. need

Method used

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  • Bank hall customer moving-line trajectory characterization system and method based on deep learning
  • Bank hall customer moving-line trajectory characterization system and method based on deep learning
  • Bank hall customer moving-line trajectory characterization system and method based on deep learning

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Embodiment

[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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Abstract

The invention discloses a bank hall customer moving-line trajectory characterization system and method based on deep learning, and belongs to the technical field of machine vision. The bank hall customer moving-line trajectory characterization system based on deep learning of the invention comprises a data collection module, a data processing module and a customer retrieval module. The data collection module is used for collecting video data of a customer in a bank hall. The data processing module extracts image data according to the video data collected by the data collection module, and labels a contour and a position of the customer in each image. The customer retrieval module utilizes a neural network model to detect the contour and the position of the customer in each image to obtaina dynamic trajectory of the customer. The bank hall customer moving-line trajectory characterization system based on deep learning of the invention can comprehensively grasp movement of the customer in the bank hall, facilitates precise marketing recommendation of a bank and management of the bank, improves understanding of customer behaviors in the bank hall, and has very good promotion and application values.

Description

technical field [0001] The invention relates to the technical field of machine vision, and specifically provides a deep learning-based system and method for depicting customer moving line trajectories in bank halls. Background technique [0002] With the rapid development of society and economy, more and more occasions begin to implement smart services. The bank is an important service occasion, and many people in the society need to go to the bank to handle related business. Especially in recent years, with the increase of income level, more and more people have begun to pay attention to financial management business, and banks have correspondingly launched more and more financial management service models. The traditional banking business model can no longer meet the increasingly rapid development of social services. need. At present, the bank implements a smart banking strategy. In order to facilitate customers to understand its banking products, there are a lot of post...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q40/02G06N3/04
CPCG06Q40/02G06N3/045
Inventor 尹青山段成德于治楼
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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