A cash register queue analysis method and system

Abstract

The present application is a cash register queuing analysis method and system, which uses the head target detection model and the cash register target detection model to confirm the location information and confidence of the personnel in the store and the cash register; Cashiers, and distinguish queued customers from non-queuing customers according to the geometric relationship between head images; count the number of cashiers and queued customers, and judge the peak passenger flow of the store when the quantitative relationship between the number of cashiers and the number of queued customers meets the set value There are cash register violations during the period, which solves the technical problem of low judgment accuracy or even missed supervision due to the huge workload per capita caused by manually checking whether there are cash register violations in the store during the peak passenger flow period, and greatly reduces the number of staff workload, improve monitoring accuracy, and avoid missed monitoring.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a cash register queuing analysis method and system. Background technique [0002] At present, smart cashier systems are equipped in various shopping scenes such as stores, supermarkets, and shopping malls. Cashiers use barcode scanners or hand-held barcode scanners to settle product payments for customers. During peak shopping periods, there are often queues waiting for checkout. There are too many customers, and the cash register staff in each store or shopping mall is limited, and the long queue time will significantly reduce the shopping experience of customers. The existing cash register queuing early warning analysis method is to check the surveillance video streams of each store one by one through the background monitoring staff, and check with the naked eye whether there is a serious shortage of cashiers serving queuing customers for settlement violations in the current st...

AI Technical Summary

Problems solved by technology

[0003] Based on this, the present invention aims to provide a cashier queuing analysis method and system, which uses a target detection algorithm to confirm whether the quantitative relationship between the number of cashiers and the number of customers in line satisfies the set value, so as to determine whether there are cashiers during the peak period of passenger flow in the store. Lack of violations to solve the technical problems of high labor costs, low monitoring efficiency, and missing monitoring caused by relying on manual inspection of violations in the existing technology

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