A method and system for face recognition in a smart community

Abstract

This application provides a method and system for face recognition in a smart community. The method of the present application includes: acquiring a face image of a target human body; performing edge detection on the face image, and dividing the face image into multiple regions according to the closed edges; performing key regions in the multiple regions Texture extraction, generating the texture feature vector of the key area, wherein the key area is the human face organ area determined according to the clustering rules; based on the texture feature vector, comparing and identifying the key area, and then determining The identity information of the target human body. The face features collected by the present invention are less, the calculation amount is small, and the algorithm is simple, and the recognition speed is fast, thereby improving the speed of face recognition, and adapting to distributed low-configuration hardware resources, massive recognition objects, and high-frequency triggering in smart community scenarios Face recognition can be realized efficiently, reliably, quickly and at low cost under the actual conditions.

Description

technical field [0001] This application relates to the technical field of smart cities, in particular to a method and system for face recognition in smart communities. Background technique [0002] Smart community is an integral part of smart city technology, including smart buildings, smart homes, smart public services, etc. Community residents provide a safe, convenient, and comfortable living experience, and enhance the management and services of property, security, neighborhood committees, and public security agencies to the community, reduce human and material costs, and improve management efficiency. [0003] Realizing identity recognition is a basic requirement of smart communities, and it can play an important role in access control, personnel and house registration, owner-exclusive facilities and services, etc. of smart communities. Due to the rapid popularization of video surveillance in the community, many existing video surveillance equipment can already carry o...

AI Technical Summary

Problems solved by technology

The purpose of this application is to solve the problem that the face recognition method in the prior art needs to collect a large amount of face feature data during the recognition process, the amount of calculation is large and the algorithm is complex, resulting in slow recognition speed, large consumption of software and hardware resources, and high implementation cost. , to adapt to the actual conditions of distributed low-configuration hardware resources, massive recognition objects, and high-frequency triggers in smart community scenarios, and realize face recognition efficiently, reliably, quickly, and at low cost

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