Method for automatic statistics of passenger flow, all-in-one machines and distributed system for automatic statistics of passenger flow

Abstract

The invention discloses a method for automatic statistics of passenger flow, all-in-one machines and a distributed system for automatic statistics of the passenger flow. The method for automatic statistics of the passenger flow, the all-in-one machines and the distributed system for automatic statistics of the passenger flow have the advantages that accurate statistics is achieved, color information is not needed, and the influence of the factors such as the hair condition and color are avoided; the all-in-one machines can be installed conveniently and can be used flexibly; data of all the all-in-one machines of the distributed system are transmitted to a center server through a network, and thus data can be managed, inquired and mined more effectively; meanwhile, due to the fact that the caching type transmission mechanism is used, independent operation of each all-in-one machine can not be influenced.

Description

technical field [0001] The invention relates to the technical field of passenger flow statistics, in particular to an automatic passenger flow statistics method, an all-in-one machine and a distributed system thereof. Background technique [0002] Passenger flow is an indispensable data for the management and decision-making of large shopping malls, shopping centers, chain stores, airports, stations, museums, exhibition halls and other public places. and comprehensive management to provide accurate and timely data reference. It is of great significance to industries that depend on passenger flow. Studying the law of passenger flow can increase sales opportunities, convert viewers into shoppers, maximize the sales potential of shopping malls, and increase profits. Passenger flow is an important measurement tool. Through this accurate quantitative data, it can not only help merchants to grasp the running status of shopping malls, shopping centers, museums, etc., but also use ...

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in the traditional passenger flow statistics method: 1. Passenger flow statistics based on infrared sensing technology cannot distinguish the situation where multiple people are blocked when they enter and exit

2. The existing video-based passenger flow statistics method has low accuracy and uses hair color as a statistical feature, resulting in incorrect counting of hats, baldness, hair dyeing, etc.

At present, other passenger flow statistics systems basically need to be connected to computers for debugging, which is inconvenient for installation, deployment and maintenance.

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