一种基于SSD目标检测算法的安全帽识别视频监控系统
Safety Helmet Recognition Video Surveillance System Based on SSD Target Detection Algorithm
DOI: 10.12677/JSST.2021.94004, PDF,    科研立项经费支持
作者: 范恒搏, 马士伟, 王建:中建地下空间有限公司,四川 成都
关键词: 视频监控技术SSD目标检测算法安全帽Video Surveillance Technology SSD Target Detection Algorithm Safety Helmet
摘要: 视频监控技术源自人工智能的一个分支。它可以使用一台计算机,来自动分析视频图像源,从中识别并提取有用的关键信息,并自动控制机器执行相应的操作。本文是一种基于SSD目标检测算法的视频监视系统,用于识别安全帽的特定数据。目的是能够以更智能的方式进行巡逻和对事件做出响应,而无需投入大量人力资源停留在显示器前。
Abstract: Video surveillance technology comes from a branch of artificial intelligence. It can use a computer to automatically analyze the video image source, identify and extract useful key information, and automatically control the machine to perform corresponding operations. This paper is a video surveillance system based on SSD target detection algorithm, which is used to identify the specific data of safety helmet. The goal is to patrol and respond to events in a more intelligent way without investing a lot of human resources in front of the display.
文章引用:范恒搏, 马士伟, 王建. 一种基于SSD目标检测算法的安全帽识别视频监控系统[J]. 安防技术, 2021, 9(4): 19-25. https://doi.org/10.12677/JSST.2021.94004

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