Authors: P.Sandhya Krishna, Kondaveeti Vyshnavi Mani, Gutta Bhavyasri, Bachina Lakshmi Sowjanya, Pagidipalli Rupakalpana
Abstract: The Smart Bus Attendance Management System is a face recognition-based system that uses deep learning to automate the school or college bus student attendance tracking. The conventional manual attendance systems are time-consuming, more likely to be erroneous whereas RFID or biometric security demands the implementation of extra equipment and may not provide real-time accuracy. In this system, images of students are captured when they get on the bus and they are identified with the help of deep learning algorithms, which can be Convolutional Neural Networks (CNNs), face embedding models. The identified information is uploaded on a digital record of the attendance and the information such as the name of student, roll number, class, date and time. The system will be able to produce real-time reports on attendance, minimize human intervention, and improve the safety aspect by providing proper monitoring of students on transit. This solution proves to be an efficient combination of computer vision, machine learn and IoT-based transportation management that offers a scalable and smart solution to the present-day learning institutions.
