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

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.