부산대학교 도서관

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.