Autonomous Vision Tracking Luggage Carrier for Indoor Application

Abstract

This research explores the potential of self-driving luggage carriers to improve mobility and accessibility by addressing the challenges that travellers face when using traditional luggage carriers. Traditional luggage carts are non-ergonomic and lack intelligent features, making them particularly difficult for individuals with physical limitations or health conditions. To overcome these challenges, autonomous luggage carriers employ Automated Guided Vehicle (AGV) technology integrated with a vision system for hands-free operation. The AGV detects and follows predefined paths, ensuring precise movement and position tracking. A buzzer system is included to alert users in case of misplaced or lost tag detection.  The project aims to develop a motorized luggage system with autonomous navigation, integrating a real-time vision tracking system that follows users through unique tag detection for seamless movement. The system also features a smart notification mechanism, including lost tag alerts and a battery monitoring function that triggers automatic recharging. This project was successfully implemented, demonstrating reliable autonomous navigation and accurate tracking using the HuskyLens camera for tag detection and position data. Despite minor limitations, such as sensitivity to lighting conditions, the system achieved its objectives, showcasing precise motion control and seamless hardware and software integration. This innovative approach addresses key issues in luggage transport, improving convenience, safety, and efficiency while highlighting its potential for real-world applications.