Suspicious Vehicle Detection Using Licence Plate Detection And Facial Feature Recognition
This addresses the need for improved vehicle safety and criminal detection in traffic surveillance, but appears incremental as it combines existing recognition methods.
The paper tackled the problem of inefficient manual vehicle and criminal detection in traffic surveillance by developing a combined face recognition and license plate recognition model for real-time tracking of stolen vehicles and fleeing criminals.
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.