Design and Deployment of Computer Vision based Smart Patrolling Robot using UP Squared Board

Abstract

Human patrolling and surveillance operations often involve inherent risks and inefficiencies. To address these challenges, this work discusses the design and development of a patrolling robot using the UP Squared board, a powerful maker board, harnessing the capabilities of the OpenCV computer vision library. The robot is designed to perform efficient patrolling and surveillance tasks while autonomously avoiding obstacles. Utilizing video processing techniques enabled by OpenCV, the robot accurately detects intruders and promptly alerts human operators. Additionally, obstacle avoidance sensors are incorporated to ensure the robot navigates safely and avoids potential hindrances. By combining robust surveillance, accurate intruder detection, and obstacle avoidance, this research contributes to developing a reliable and effective patrolling system.