Abstract
Public transportation is an essential part of urban mobility, but challenges such as passenger safety, route optimization, and emergency response continue to impact its efficiency. This project presents a smart bus monitoring system that integrates facial recognition technology, road assistance features, and a centralized database to enhance security, monitoring, and emergency management. The system uses facial recognition to authenticate passengers during boarding, preventing unauthorized access, improving attendance tracking, and ensuring a safer travel environment. Additionally, the real-time monitoring module tracks the bus’s location, speed, and route deviations, providing live updates to both passengers and administrators to optimize fleet operations. To improve safety and emergency response, the system incorporates road assistance features that detect vehicle breakdowns, accidents, or unusual driving behavior. In case of an emergency, automated alerts are sent to fleet management and emergency services to ensure quick intervention and reduce downtime. A centralized database securely stores essential data, including passenger details, bus schedules, driver information, and incident reports, facilitating efficient data management and retrieval. This database enables better decision-making, historical analysis, and improved transportation policies. By integrating these technologies, the system not only enhances security and operational efficiency but also improves the passenger experience by ensuring a safer and more reliable public transport system. The implementation of such a system can lead to improved fleet management, reduced travel delays, and a more intelligent transportation network, ultimately benefiting both passengers and transport authorities.