Intelligent Human-machine Game System Based on Machine Vision

摘要

This paper designs an intelligent man-machine game system based on machine vision, including image acquisition and processing, game algorithm, and intelligent control of robotic arm. The camera collects the chessboard and chess piece images, performs image processing through OpenCV, uses the Hough transform algorithm to find the position of the board and pieces, and extracts the chess game information contained in the picture. The chess game information is entered into the game algorithm, and after processing, the next position of the intelligent system is obtained. Finally, the drop position is sent to the Arduino, where the Arduino controls the robotic arm drop. The system realizes the intelligent control of the robotic arm based on machine vision and completes the function of man-machine game.