Smart Campus Transit System Using Real-Time Face Recognition and Flask-Based Automated Access Monitoring

Abstract

The Integrated Smart Campus Bus Management System (ISC-BMS) has been developed to provide a comprehensive and effective approach to managing transportation operations through the use of intelligent automation and real time monitoring. The various functional modules are combined into one system including driver log-in based attendance; Student Bus Pass Application Workflows, and Centralized Oversight Administrator Dashboard. It is proposed that using a face recognition subsystem will automate the process of taking attendance as students board the buses thereby improving accuracy in seating arrangements, reducing the opportunity for proxies, and increasing overall safety and security on campus. Real-time GPS location tracking will provide constant visibility of bus routes, as well as notification of the movement of the bus, delays, and whether the student is on board or not to parents. Several key limitations are addressed by the proposed framework including the limitations of current systems that only track or schedule services separately without incorporating any behavioral verification or automating identity authentication process(es). By integrating the above with biometric recognition, digital pass processing, and multi-role communication capabilities all into a single platform; school districts will be able to improve the safety, operational transparency, and user experience of their transportation operations thereby creating a more reliable and sustainable campus transportation management system.