  With the increasing need to strengthen vehicle safety and detection, the
availability of pre-existing methods of catching criminals and identifying
vehicles manually through the various traffic surveillance cameras is not only
time-consuming but also inefficient. With the advancement of technology in
every field the use of real-time traffic surveillance models will help
facilitate an easy approach. Keeping this in mind, the main focus of our paper
is to develop a combined face recognition and number plate recognition model to
ensure vehicle safety and real-time tracking of running-away criminals and
stolen vehicles.
