AI-BASED IMAGE PROCESSING SYSTEM FOR COLLEGE BUSES

The “Al-Based Image Processing System For College Buses” project addresses the critical need for enhanced safety and security in college bus transportation through the implementation of an innovative AI-based image processing system. This system is designed to efficiently check student entry and verify active passes, ultimately creating a secure environment for all passengers on college buses. Leveraging advanced machine learning models, the primary goal is to improve the capacity and accuracy of the system, enabling it to capture multiple faces simultaneously with faster execution and more precise output. The hardware components of the AI-Secure Bus system include a Raspberry Pi, GSM module, GPS module, LCD display, and a reliable power supply. These components work in tandem to create a robust and versatile platform capable of real-time tracking, image processing, and communication. The workflow of adding datasets involves capturing student facial data, adding information about pass validity, and incorporating home location coordinates into the dataset. This meticulous process ensures that the system has comprehensive data to accurately authenticate and monitor student entries. The workflow toward the college involves making the bus location live, checking the proximity of students’ home locations, and notifying students about the bus’s arrival with approximate timings. This real-time tracking and communication significantly contribute to the efficiency and transparency of the transportation system.