QR Code Detector and Follower with Kalman Filter

Abstract

For any robot, animal, or social animal to learn, understand, and respond appropriately, visual perception is the most critical capacity. This paper presents an example of computer vision-based research written in the Python programming language which employs libraries like OpenCV and NumPy. To navigate a robot on its own USB 2.0 high-definition camera mounted on robot captures the video stream in the operating area. Identification and decoding of QR code from the visible environment of camera using the image processing and QR code detection algorithm. Tracking of QR code is done using the Kalman filter. The robot will function according to the decision taken by program logic developed in minicomputer depending on data input from the camera.