Automatic Bus Pass Verification System through AI

Manual checking by bus conductors is the old method of verifying bus passes; this is labor-intensive and error-prone. It might also make it easier for unidentified people to travel without being checked. We propose an AI-powered Automatic Bus Pass Verification System to address these concerns.To automate the passenger verification process, the suggested solution employs deep learning and computer vision methods for facial identification. The system processes the acquired frames using OpenCV for face detection, utilizing a camera situated at the entrance of the bus to capture the passenger’s face. After the faces have been identified, they are processed before being sent into a CNN model that has been trained with photos of people who have already registered.A database of registered bus pass holders is checked against the captured face by the system. The entry is logged with the date and time if a match is detected, and the passenger’s bus pass is automatically checked. An unauthorized user is identified as a traveler whose face does not match the database. A database contains all verification data for administrative and monitoring reasons.Using this method in public or institutional transportation systems improves verification accuracy, lowers manual effort, and increases security.