Papilon’s biometric-integrated license plate recognition system is based on artificial intelligence and machine learning. The system is first trained to recognize vehicles, license plates, and lastly, characters. This multi-step process is designed to ensure that a person walking with a registered plate at hand, or a piece of paper on which the characters of a legal plate are written do not mislead the system. It would not be wrong to think the biometric-integrated license plate recognition system as an access control unit as the same principles lay behind their design. The system differs from our access control units ib the aspect that it focuses on recognizing the particularities of vehicles instead of people. The system scans each plate and compares them to the whitelisted plates in the dataset. If a match is found, this means that the first step of access control process is completed. However, since the system is a multi-modular structure containing biometric units, plate recognition only enables access to campuses, not buildings. In order to match the driver with his por her vehicle and ensure that the authorized vehicle is being used by an authorized subject, biometric modules are used at the entrances of buildings.