Year: 2023
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Agarwal, Vrinda, Pichappa, Aaron George, Ramisetty, Manideep, MS, Bala Murugan, Rajagopal, Manoj kumar
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4367623610