基于机器视觉的化工厂员工危险作业行为识别研究

Research on Identif ication of Hazardous Work Behavior of Chemical Factory Employees Based on Machine Vision

基于机器视觉的化工厂员工危险作业行为识别研究旨在通过先进的机器视觉技术,有效识别和预防化工场所的安全事故,增强员工安全生产意识,保障生产安全。文章分析了从常见的化工厂员工危险作业行为识别,到机器视觉技术方法的概述,再到图像的采集、预处理及基于机器视觉的石化场景中人员危险行为的具体识别方法,最后提出了后续研究方向建议。

The research on identif ication of hazardous operation behaviors of chemical plant employees based on machine vision aims to effectively identify and prevent safety accidents in chemical sites through advanced machine vision technology,improve employees’awareness of production safety and ensure production safety.This paper analyzes the common identif ication of hazardous operation behaviors of chemical plant employees,the overview of machine vision technology methods,the acquisition and pretreatment of images and the specif ic identif ication methods of hazardous behaviors of personnel in petrochemical scenes based on machine vision,and f inally puts forward suggestions for follow-up research directions.