Research on Intelligent Safety Supervision System of Chemical Industry Park Based on Neural Network

Abstract

 With the continuous development of society, video surveillance technology is widely used in many fields such as urban security, transportation, education safety training, and intelligent furniture. However, the traditional and backward monitoring methods can no longer meet the needs of modern urban development. In order to improve the monitoring ability of video and increase the speed of face recognition, it is particularly important to establish a smart security monitoring system based on artificial intelligence in this paper. This article uses the YOLO algorithm as the basis for neural network model building, training and prediction. A smart security monitoring system based on the chemical industry park has been designed. Through intelligent monitoring, it can effectively identify faces and analyze people's unsafe factors and behaviors to ensure the safety of people's lives and property.