基于行人重识别的智能安防系统

Intelligent Security System Based on Pedestrian Re-identification

智能安防一直是人们非常关注的领域,其中行人重识别技术可以有效提高监控系统的实用性和可靠性。介绍了一种基于行人重识别技术的智能安防系统,该系统采用神经网络算法和B/S架构,并使用SpringBoot框架进行开发。该系统能够快速准确地识别出监控画面中的行人信息并进行重识别,从而有效解决传统安防系统中图像识别效率低的问题。同时,B/S架构使得系统具有良好的兼容性和扩展性,方便与其他系统进行集成和拓展。

Intelligent security has long been a highly regarded field,and pedestrian re-identification technology can significantly enhance the usability and reliability of surveillance systems.This paper introduces an intelligent security system based on pedestrian re-identification technology.The system adopts neural network algorithms and a B/S architecture developed using the SpringBoot framework.It can quickly and accurately identify pedestrian information in surveillance footage and perform re-identification,effectively addressing the problem of low image recognition efficiency in traditional security systems.Additionally,the B/S architecture provides the system with good compatibility and scalability,making it easy to integrate and expand with other systems.