A statistical method of passenger flow at the entrance and exit of retail stores

Abstract

The present invention provides a method for counting passenger flow at the entrance and exit of a retail store, comprising: an edge computing platform and a cloud computing platform, wherein the edge computing platform is communicatively connected to the cloud computing platform, and the cloud computing platform includes a cloud AI analysis engine, a business back-end engine, a cloud computing platform, and a cloud computing platform. The video streaming service engine, the investor's intelligent operation APP, the headquarters data board, and the intelligent operation platform are connected to the edge computing platform and the cloud computing platform. The present invention effectively removes invalid passenger flow such as frequent entry and exit, short-term entry into the store, and can achieve more accurate passenger flow. Statistical results; the data on the residence time of individual passenger flows in the store can be obtained, which is of great reference value for subsequent refined operations and improving the residence time of passenger flows; the trajectory data of individual passenger flows in the store can be obtained, providing data reference for refined operations in accordance with.

Description

technical field [0001] The invention relates to the technical field of passenger flow statistical methods, in particular to a passenger flow statistical method at the entrance and exit of retail stores. Background technique [0002] In daily life, a typical situation where people use people statistics is to use passenger flow statistics to help large shopping malls, shopping centers, chain stores, supermarkets and other businesses to improve their business management. Reasonable and accurate passenger flow data can help merchants achieve the purpose of rationally adjusting business formats and store layouts, increasing shopping mall popularity, improving store KPIs, and improving consumer experience. In fact, there is a classic formula in the retail industry: store sales = passenger flow × transaction rate × customer unit price. This formula can be called the first law in the retail industry, and it is essentially the same thing as the corresponding formula of e-commerce "s...

AI Technical Summary

Problems solved by technology

[0007] Infrared passenger flow technology has the following problems: the control center cannot see real-time video, and some equipment cannot distinguish whether people or objects pass by; determine the direction of flow of people;

The current vision-based passenger flow analysis system mainly has three deficiencies: it cannot effectively eliminate invalid passenger flow

However, the obtained data is still group data, and it is still impossible to distinguish individual data.

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