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
对口罩佩戴检测进行了研究,设计实现了基于YOLOv8的口罩规范识别提醒系统.研究报告了口罩佩戴现状与挑战,并进行了目标检测模型的训练与集成工作.首先收集并标注不同口罩佩戴状态的图像数据集,用YOLOv8 模型训练,进行目标检测,从而准确地识别口罩及其佩戴状态.该系统实现了对实时视频流的口罩规范识别,检测到未佩戴或不规范佩戴口罩时发出语音提醒,促使个体调整.实验证明该系统准确性与实时性优异,具备在公共场所应用的潜力,可以提升防疫效果,降低疫情传播风险.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据