Passenger flow detection system based on face recognition and detection method thereof

Abstract

The invention discloses a passenger flow detection system based on face recognition and a detection method thereof. The key points of the technical scheme are that the passenger flow detection systemcomprises an image acquisition module and a passenger flow statistical server. The passenger flow statistical server comprises a storage module, a face analysis module and a flow analysis module whichare connected in turn. The image acquisition module is installed at the entrance and used for acquiring various angles of face image information of the target person. The storage module is used for storing the acquired image information of the target person. The face analysis module is used for recognizing the face information of each image and performing comparative analysis with other images inthe storage module. The flow analysis module is used for integrating the analysis result outputted by the face analysis module so as to obtain the passenger flow characteristics through statistics and form the trend chart. According to the passenger flow detection system based on face recognition, the customer information can be more deeply read and the accuracy can be greatly enhanced.

Description

technical field [0001] The present invention relates to the field of passenger flow statistics, more specifically, it relates to a passenger flow detection system and detection method based on face recognition. Background technique [0002] The completion of commodity transactions is inseparable from human factors. It is conventionally believed that passenger flow represents business opportunities to a certain extent. For physical stores, customer flow is a very basic and important indicator. It can help sellers better understand consumers, allow operators to intuitively understand the changing rules of the store's customer flow, and help stores to locate more accurately. Maximize the profit of the store. [0003] The traditional passenger flow counting system mainly uses infrared sensors to count. This method has a single function and cannot deeply interpret the basic information of customers (such as gender, age group, new and old customers, etc.), and the accuracy is low...

AI Technical Summary

Problems solved by technology

[0003] The traditional passenger flow counting system mainly uses infrared sensors to count. This method has a single function and cannot deeply interpret the basic information of customers (such as gender, age group, new and old customers, etc.), and the accuracy is low, so it cannot be judged Whether it is a store staff or a customer, it is easy to repeatedly count the same person who frequently enters and exits the store

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