Validation Intelligently of Automobile and People for Safe and Smart Society

The Entry detection system as the name suggests detects entry attempts. Till date entry to organizations like schools and colleges are provided by the guards that do not map entries and exits to the premises very efficiently which is a serious security concern and also it is not humanly possible to identify each student and stop outsiders who might be disguised from entering. Ours is a face detection and facial recognition system which detects faces from a live video feed recorded from a camera installed at the gates, recognizes the face using the data set of registered staff and students of the college and opens the gates to allow entry. It also maintains a record of entry and exits along with time in a database for security purposes. OpenCV is used for facial and vehicle no. plate detection which forwards to the dlib library that is used for deep metric learning and extracting facial embedding and finally is face recognition library that displays the real time name of the person. This helps in authorized entry by correct identification along with a record of entry and exit times. The system meets the requirement as it forwards the result from the recognizer to the connected sensors and effectors for providing/restraining entry in required cases.