Researching Robot Arm Control System Based On Computer Vision Application And Artificial Intelligence Technology

摘要

One of the most popular robots in the manufacturing world is the robotic arm. In most cases, robotic arms are programmed and used to perform specific tasks, most common for manufacturing, fabrication, and industrial applications. This article presents a robotic arm control system by recognizing hand gestures from the operator. The system is based on three main steps: locate the hand gesture on the received image, determine the outline of the hand gesture, and recognize this gesture using neural networks and deep learning technology. The use of a region of interest extraction and contour detection reduces computation volume, thereby speeding up hand gesture recognition, making it possible for the robot arm to perform real-time operations. The experimental results show the positive effect of the proposed method.