Video Surveillance System for Helmet Recognition Based on SSD Target Detection Algorithm

Shilong Ma, Huan Zhao, Jian Wang, Chao Yang
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Abstract

Video surveillance technology is derived from a branch of artificial intelligence. It can have a computer to automatically analyze the video image source, identify and extract useful key information from it, and automatically control the machine to perform corresponding operations. This article is a video surveillance system based on the SSD target detection algorithm to identify specific data for hard hats. The aim is to be able to patrol and respond to incidents in a more intelligent way without having to use human resources to stay in front of the monitor.
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基于SSD目标检测算法的视频监控头盔识别系统
视频监控技术来源于人工智能的一个分支。它可以有一台计算机自动分析视频图像源,从中识别并提取有用的关键信息,并自动控制机器进行相应的操作。本文是一种基于SSD的视频监控系统目标检测算法,用于识别特定数据的安全帽。其目的是能够以更智能的方式巡逻和应对事件,而无需使用人力资源守在监视器前。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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