Park people flow management and control system based on edge computing

Abstract

The invention provides a park people flow management and control system based on edge computing, which comprises edge computing equipment and a remote server; the edge computing equipment comprises anintelligent image acquisition module, a people flow management and control processing module and a communication module. The intelligent image acquisition module acquires a people stream video on theedge side, and performs face feature comparison to generate a comparison result. The people flow management and control processing module judges the personnel attendance situation according to the comparison result, calls the quantity of the personnel to-be-processed work orders of the production management system, dispatches the work orders according to the quantity of the to-be-processed work orders, generates and uploads an order dispatching notification, an order urging notification or an alarm notification to a remote server. The people flow management and control processing module communicates with the remote server through the communication module. According to the park people flow management and control system based on edge computing provided by the invention, the functions of determining the identity through face recognition, judging the attendance condition and dispatching and urging orders can be realized.

Description

Technical field [0001] This application relates to the field of management and control, and in particular to a campus crowd management and control system based on edge computing. Background technique [0002] The general working process of the face recognition system at the entrance of the park is that the camera shoots the entrance image and communicates with the back-end face recognition server through the network in real time. As the communication progresses, the image information collected by the camera is transmitted to the back-end face recognition server. . The back-end face recognition server extracts feature values ​​through image analysis of the picture information, compares the feature values ​​with the image library, and feeds back the comparison verification results to the information screen for display. [0003] In practical applications, although the system realizes face recognition, it does not control the flow of people, does not analyze the comparison verificatio...

AI Technical Summary

Problems solved by technology

[0003] In practical applications, although the system realizes the recognition of faces, it does not control the flow of people, does not conduct comparison and analysis of verification result data, and does not carry out effective mining and development, resulting in the loss of data value

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