Rover with Obstacle Avoidance Using Image Processing

With the rapid development of robotics, autonomous rovers are finding numerous applications in the automation industry. This research paper aims to present an approach to designing an autonomous rover that can detect and avoid obstacles through advanced image-processing techniques. The proposed rover operates in real time, utilizing the Raspberry Pi module and an integrated camera, and is developed using the open-source computer vision (OpenCV) library. The Canny edge detection algorithm, one of the most reliable and widely-used image-processing techniques, is employed to process the images and video feeds captured by the camera. Additionally, the images are further enhanced using a bilateral filter to achieve improved results. The rover's navigation system is designed to enable autonomous movement, ensuring that the wheels can detect and avoid obstacles, thereby eliminating the possibility of collisions. The study presents an innovative approach to autonomous rover design and could significantly impact the field of robotics and automation.