Design and Development of a Self-Balancing Patrolling Bike for Urban Surveillance and Mobility Enhancement

As robotics continues to advance across industries, autonomous systems are increasingly being adopted for safety, surveillance, and human interaction. Urban environments, which are often large, complex, and difficult to monitor, still rely heavily on static cameras, manual patrols, and limited human oversight for security. These traditional methods become inadequate during peak periods such as night shifts and holidays, and they lack real-time updates, mobility, and multi-threat adaptability. This project proposes an autonomous patrolling bike designed to function as a mobile guard and digital sentry, capable of independently navigating predefined paths, avoiding obstacles, and providing real-time alerts and threat information. The robot integrates multimodal interaction through cloud connectivity, AI vision, and sensor fusion, supported by IoT infrastructure to access and update information dynamically. By combining mobility with intelligent communication, the system aims to enhance site safety, reduce risk for human guards, and demonstrate the effective role of robotics in creating smarter and more secure urban environments.