Adaboost算法的面部识别技术在智慧工地中的应用

本文提出基于面部识别技术的智慧工地管理平台解决方案。首先,借助Adaboost算法分析介绍了人脸检测技术和人脸识别技术在智慧工地中的实现过程,然后进行了需求分析、架构分析和功能分析,最后借助某建筑工程项目进行了实际检验和对比。结果表明,采用人脸识别技术的智慧工地管理对于人员安全管理、考勤管理具有显著优势,不带安全帽的违规人数从32人大幅度降低至5人,同时考勤异常人次也从21降低至3,为工地精细化和智能化管理提供了有力支撑。

Application of Facial Recognition Technology Based on Adaboost Algorithm in Smart Construction Sites

In the paper,a smart construction site management platform solution based on facial recognition technology is proposed.Firstly,with the aid of Adaboost algorithm analysis,the realization process of face detection technology and face recognition technology in smart construction sites are introduced.Then the system needs analysis,architecture analysis and function analysis are carried out.Finally,it is carried out with the help of a construction project.The test results show that:smart site management using face recognition technology has significant advantages for personnel safety management and attendance management.The number of offenders without helmets has been drastically reduced from 32 to 5,and the number of abnormal attendances has also been reduced from 21 to 3.It provids favorable support for the fine and intelligent management of construction sites.