Paper
23 November 2022 School safety early warning system based on machine vision
HongHai Ping
Author Affiliations +
Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124541U (2022) https://doi.org/10.1117/12.2658202
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China
Abstract
With the progress of society, people's needs are changing and higher requirements are being put forward for living standards and living environments. Therefore, the use of machine vision and information technology to solve the current problem of dangerous systems is a good solution. This paper explores the design and development of a school safety warning system based on machine vision algorithms. The school safety early warning system based on machine vision is an intelligent management system that can achieve real-time monitoring and early warning functions, which is important for achieving school safety management, by analyzing the existing system requirements and drawing conclusions.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
HongHai Ping "School safety early warning system based on machine vision", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124541U (23 November 2022); https://doi.org/10.1117/12.2658202
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KEYWORDS
Safety

Image processing

Cameras

Detection and tracking algorithms

Machine vision

Target detection

Video

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