A sales exhibition hall passenger flow batch statistics based on face recognition technology

Abstract

The invention discloses sales exhibition hall passenger flow batch statistics based on a face recognition technology. The method comprises the following steps that SS1, at least one face recognition camera is installed in a sales exhibition hall towards an entrance of the exhibition hall, when a client enters the visual angle range of the face recognition camera, the face recognition camera detects the client, captures a face picture of the client to obtain related information, and sends the face feature information to a system. In the present invention, whether the clients are the same batchof clients or not is judged according to the time dimension; the customers entering within a certain time interval is judged as a batch of customers; compared with the traditional method of only counting the passenger flow volume, the statistical data of the passenger flow batch can more effectively and accurately reflect the market condition, and the effectiveness and the value of analysis, prediction and auxiliary decision of the numerical value of the passenger flow batch are far greater than those of the numerical value of the passenger flow volume only obtained.

Description

technical field [0001] The invention relates to the technical field of batch statistics of passenger flow in a sales exhibition hall, in particular to the batch statistics of passenger flow in a sales exhibition hall based on face recognition technology. Background technique [0002] Passenger flow refers to the number of people entering a certain place per unit time, which is an important indicator reflecting the popularity and value of the place. At present, the use of face recognition technology to count passenger flow can already accurately count the number of people entering or leaving a certain area. However, most of the statistical methods are calculated by counting the number of people entering and leaving the entrance of the place. However, employees also enter and exit the entrance of the place due to work needs and are counted down, resulting in a low accuracy of the statistics of the flow of people. At the same time, only the flow of people is counted in the stati...

AI Technical Summary

Problems solved by technology

[0002] Passenger flow refers to the number of people entering a certain place per unit time, which is an important indicator reflecting the popularity and value of the place. At present, the use of face recognition technology to count passenger flow can already accurately count the number of people entering or leaving a certain area. However, most of the statistical methods are calculated by counting the number of people entering and leaving the entrance of the place. However, employees also enter and exit the entrance of the place due to work needs and are counted down, resulting in a low accuracy of the statistics of the flow of people. At the same time, only the flow of people is counted in the statistics. , the same batch of accompanying personnel cannot be counted, resulting in the inability to fully accurately reflect popularity and value

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