现代信息科技2025，Vol.9Issue(19)：22-25,4.DOI:10.19850/j.cnki.2096-4706.2025.19.005
基于YOLOv10+PyQt5的头盔检测与识别系统
Helmet Detection and Recognition System Based on YOLOv10+PyQt5
摘要
Abstract
In the field of safety supervision,accurate detection and recognition of head and helmet status is very important to ensure the safety of personnel.This paper develops a helmet detection and recognition system based on YOLOv10 model and PyQt5.By collecting,preprocessing,labeling and splitting a large number of image data,the YOLOv10 model is trained to have excellent accuracy performance in the helmet detection task.At the same time,PyQt5 is used to design a feature-rich user interface to realize functions such as image detection,video detection and real-time camera detection,and to conduct a comprehensive test and verification of the system.The system provides efficient and accurate technical support for safety supervision,which has important practical significance and application value.关键词
PyQt5/YOLOv10模型/头盔检测/图像识别/安全监管Key words
PyQt5/YOLOv10 model/helmet detection/image recognition/safety supervision分类
信息技术与安全科学引用本文复制引用
曾静,廖书真,周永福,林焕伟..基于YOLOv10+PyQt5的头盔检测与识别系统[J].现代信息科技,2025,9(19):22-25,4.基金项目
广东省重点科研项目(2024ZDZX4089) （2024ZDZX4089）
广东省高校青年创新人才项目(2024KQNCX207) （2024KQNCX207）
广东省高校青年创新人才项目(2023KQNCX233) （2023KQNCX233）
