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The vision system presented in this paper was originally developed to be integrated into a service robot called PiBot for the COVID-19 pandemic control, however, the bases of the system can be used as a main vision system of another nature, mainly for object detection. To develop a vision system based on artificial intelligence, ROS, and YOLO were employed, achieving quite solid results through a sampling of face mask detection and distance violation, being comparable with other recent vision systems, and an excellent option for service robots. Especially when the used experiments in the presented detection results have uncontrolled factors such as people’s quantity passing by, the distance between people, the variant perspective of captured faces, etc.

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Vision System Based on Artificial Intelligence for Service Robots

  • 会议论文

  • 发表日期：

    2026年

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  • Carlos E. Mendoza-Ramirez,
  • Juan A. Gonzalez-Aguirre,
  • Juan C. Tudon-Martinez,
  • Luis C. Felix-Herrán,
  • Mauricio A. Ramírez-Moreno,
  • Jorge De-J. Lozoya-Santos,
  • Olivier Sename

摘要

The vision system presented in this paper was originally developed to be integrated into a service robot called PiBot for the COVID-19 pandemic control, however, the bases of the system can be used as a main vision system of another nature, mainly for object detection. To develop a vision system based on artificial intelligence, ROS, and YOLO were employed, achieving quite solid results through a sampling of face mask detection and distance violation, being comparable with other recent vision systems, and an excellent option for service robots. Especially when the used experiments in the presented detection results have uncontrolled factors such as people’s quantity passing by, the distance between people, the variant perspective of captured faces, etc.