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

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。

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 maskwearing 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.