摘要
为预防建筑业施工安全事故的发生,减少大量的施工安全事故所造成的生命财产损失和社会负面影响,该文采用Springboot框架和YOLOv5技术,搭建监测平台进行智能化管控,重点关注施工现场人员的资质审核和不安全行为检测,提高施工现场安全监管的效率和准确性。
In order to prevent the occurrence of construction safety accidents in the construction industry,reduce the loss of life and property and negative social impact caused by a large number of construction safety accidents.This paper uses Spring Boot framework and YOLOv5 technology to build a monitoring platform for intelligent management and control,focusing on the construction site personnel qualification audit and unsafe behavior detection,to improve the efficiency and accuracy of construction site safety supervision.
出处
《科技创新与应用》
2024年第13期179-182,共4页
Technology Innovation and Application
基金
武汉品道建筑园林工程有限公司2023科研项目(2023JSZN4KJ-YL2-B-007)。
关键词
施工现场安全
智能管控
人工智能
机器学习
建筑安全
construction site safety
intelligent management and control
artificial intelligence
machine learning
building safety
