基于YOLOv5的智能口罩检测与非接触式测温移动机器人

Xin Wang, Kaiyuan Huo, R. Tang, Jing Ren, Hongpeng Chen, Kaixuan Sun, Lihong Song
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引用次数: 1

摘要

针对现有人工口罩佩戴检测的不足,提出了一种能够实现口罩佩戴检测、温度测量和人员全方位移动的多功能移动机器人。该机器人以全向移动平台为主体结构,采用双闭环PID(比例积分微分)算法和SLAM(同步定位与映射)技术进行运动控制,基于YOLOv5深度学习框架实现面具佩戴的实时检测,采用MLX90640热像仪实现体温检测。该系统成本低,性能稳定,具有潜在的实际应用价值。同时,作为项目驱动的教学工具,该系统对于培养学生解决实际问题的能力具有参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Mask Detection and Non-contact Temperature Measurement Mobile Robot based on YOLOv5
Aiming at the shortcomings of existing manual inspection of mask wearing, a multi-functional mobile robot that can realize mask wearing detection, temperature measurement and omni-directional movement of personnel is proposed. The robot uses an omni-directional mobile platform as the main structure, uses double closed-loop PID (Proportion Integral Differential) algorithm and SLAM (Simultaneous Localization and Mapping) technology for motion control, realizes real-time detection of mask wearing based on YOLOv5 deep learning framework, and uses MLX90640 thermal camera to achieve body temperature detection. The system has the advantages of low cost and stable performance, and has potential value of practical application. At the same time, as a project-driven teaching tool, the system has reference value for cultivating students’ ability to solve practical problems.
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