Suspicious Vehicle Detection Using Licence Plate Detection And Facial Feature Recognition

TL;DR

This paper proposes a real-time vehicle safety system combining license plate and facial recognition to improve efficiency in criminal detection and vehicle tracking using traffic surveillance cameras.

Contribution

It introduces a novel integrated model that combines license plate detection with facial recognition for enhanced vehicle and criminal identification.

Findings

Effective real-time detection of stolen vehicles and criminals

Improved accuracy over traditional manual methods

Potential for deployment in traffic surveillance systems

Abstract

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.