通过面部识别实现安全的协作互动

A. Borboni, Paolo Marinoni, Cristina Nuzzi, R. Faglia, R. Pagani, Simone Panada
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引用次数: 2

摘要

提出了一种基于机器人操作系统(ROS)的Sawyer协作机器人人脸识别节点的实现方法,并对其进行了初步的实验验证。该节点通过Sawyer协作机器人的头部摄像头获取图像,并使用OpenCV库对其进行细化,应用Viola-Jones算法进行人脸检测。其目的是使用人脸识别功能,使机器人只有在正确识别其工作空间中的操作员时才开始操作,从而增加人机交互的安全性。开发的ROS节点可以同时识别多个人脸,并发布专用主题所需的信息。验证分析了在用户面部不同方向上的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards safe collaborative interaction empowered by face recognition
This paper presents the implementation of a face recognition node for a Sawyer collaborative robot using Robot Operating System (ROS), and its preliminary experimental validation. The node acquires images through the head camera of a Sawyer cobot and elaborates it using OpenCV libraries, applying the Viola-Jones algorithm to detect faces. The aim is to use face recognition functionalities to make the robot start its operations only when it correctly recognizes an operator in its workspace, thus increasing the safety of the human-robot interaction. The developed ROS node recognizes multiple faces at the same time and publishes the information required on a dedicated topic. The validation performed analyzed the success rate of the procedure at different orientations of the user's face.
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