现代信息科技2024，Vol.8Issue(18)：66-70,5.DOI:10.19850/j.cnki.2096-4706.2024.18.013
基于YOLOv8的口罩规范识别提醒系统设计
Design of Mask Compliance Recognition and Reminder System Based on YOLOv8
蒋晨1
作者信息
- 1. 西安理工大学高科学院,陕西 西安 713700
- 折叠
摘要
Abstract
This paper investigates mask-wearing detection,designs and realizes a mask compliance recognition and reminder system based on YOLOv8.The study reports the current status and challenges of mask-wearing,and conducts training and integration work of the object detection model.Initially,it collects and annotates image datasets depicting different mask-wearing statuses,and uses YOLOv8 model to train for object detection,so as to recognize masks and their wearing states accurately.The system achieves real-time mask compliance recognition on video streams,which issues voice reminders upon detecting improper or absent mask-wearing to prompt individuals to adjust.Experimental results demonstrate the system has outstanding accuracy and real-time performance,and has potential for practical application in public spaces,which could enhance epidemic prevention effectiveness and mitigate transmission risks.关键词
口罩规范/YOLOv8/目标检测Key words
mask compliance/YOLOv8/object detection分类
信息技术与安全科学引用本文复制引用
蒋晨..基于YOLOv8的口罩规范识别提醒系统设计[J].现代信息科技,2024,8(18):66-70,5.
