Design And Development Of A Smart Mobile Robot For Light Intensity Following
DOI:
https://doi.org/10.64252/6mfg5228Keywords:
Computer vision, autonomous mobile robots, Rasp- berry Pi, obstacle avoidance, infrared line following, LED track- ing, sensor fusion, robotics, machine vision, and path planning.Abstract
Robots often face difficulties when moving through different environments. In this paper, we evaluate the perfor- mance of a smart navigation system implemented in a mo- bile robot that prioritizes light intensity using computer vision techniques. The system uses a Raspberry Pi 4B and a camera module for LED tracking and detection, infrared sensors for line following as an alternative method, and an ultrasonic sensor for obstacle avoidance. A hierarchical decision-making system is used, giving the highest priority to LED tracking over line following, while also handling obstacle detection and avoidance. Experiments in various lighting conditions and environment se- tups showed that combining computer vision-based light tracking with traditional IR line following greatly improves the robot’s ability to navigate compared to using just one method. Our results confirm the benefits of sensor fusion and a priority-based approach in building reliable and flexible mobile robots.
