Method and device for recognizing bidirectional passenger flow through single lens, storage medium and camera

Abstract

The invention discloses a method and a device for recognizing bidirectional passenger flow through a single lens, a storage medium and a camera. The problems that when a plurality of cameras are matched to achieve passenger flow volume detection, the risk of damage is larger, and the cost is higher are solved. Key points of the technical scheme comprise: obtaining image data information of a current shop door according to a preset image shooting device; dividing the shot image data information into entrance area image data information and exit area image data information according to a light reflection device preset in front of a lens of the image shooting device; performing passenger flow access identification according to the entrance area image data information and the exit area image data information to form customer access data information. According to the method, image data acquisition of the entrance area and the exit area can be realized only by a single image shooting deviceand a light reflection device, the overall structure is simple, the cost is low, and the damage risk is lower.

Description

technical field [0001] The invention relates to a method for identifying two-way passenger flow, in particular to a method, device, storage medium and camera for identifying two-way passenger flow with a single lens. Background technique [0002] With the popularization of e-commerce, physical retail stores have been severely impacted, especially in terms of store operation efficiency. There is a lack of real and effective customer flow data to support operators to quickly and effectively formulate sales strategies. Therefore, the store customer flow statistics system is gradually Adopted by more and more physical retail stores. [0003] Most of the existing store customer flow statistics systems are developed based on face recognition technology. Multiple cameras are installed in the store to collect face images of customers entering and leaving, and output the face images to face image analysis software. Obtain the face information in the image, and obtain the customer fl...

AI Technical Summary

Problems solved by technology

[0006] Through the above scheme, the customer flow statistics of the store can be realized, but the overall system structure is relatively complicated and multiple cameras are required to complete the statistics of the customer flow in and out of the store. Each additional camera is installed, and the risk of damage is increased. , and passenger flow statistics require multiple cameras to obtain corresponding image data and cooperate with each other. If one of the cameras fails, it will lead to instability of passenger flow statistics. At the same time, the setting of multiple cameras will also cause high cost Therefore, the current statistical method of passenger flow has a certain room for improvement.

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