TRACK AND OBSTACLE DETECTION WITH USB CAMERA FOR VISION-BASED AUTOMATED GUIDED VEHICLE

This paper describes a low cost tracking system and obstacle detection with Universal Serial Bus (USB) camera for Vision-based Automated Guided Vehicle (V-AGV). By using Machine Vision Software, the visual information obtained from the USB camera will be processed using image processing techniques such as Region of Interest, smoothing and edge detection for detecting tracks and obstacle(s) that might appear on the navigational track system. Algorithms that can be used for V-AGV navigation without collision are suggested. The distance between V-AGV and obstacle, the size, and height of the obstacle can also be measured using a single USB camera. Using the advantages available in the software, the result from some experiments are presented.