Intelligent security has long been a highly regarded field,and pedestrian re-identification technology can sig-nificantly 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 de-veloped 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 in-tegrate and expand with other systems.
维普
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