Criminal Identification System using Facial Recognition

6 Pages Posted: 16 Jul 2021

See all articles by Nagnath B. Aherwadi

Nagnath B. Aherwadi

Lovely Professional University

Deep Chokshi

Lovely Professional University

Dr. Sagar Pande

Lovely Professional University

Aditya Khamparia

Babasaheb Bhimrao Ambedkar University

Date Written: July 12, 2021

Abstract

We all know that our Face is a unique and crucial part of the human body structure that identifies a person. Therefore, we can use it to trace the identity of a criminal person. With the advancement in technology, we are placed CCTV at many public places to capture the criminal’s crime. Using the previously captured faces and criminal’s images that are available in the police station, the criminal face recognition system of can be implemented. In this paper, we propose an automatic criminal identification system for Police Department to enhance and upgrade the criminal distinguishing into a more effective and efficient approach. Using technology, this idea will add plus point in the current system while bringing criminals spotting to a whole new level by automating tasks. Technology working behind it will be face recognition, from the footage captured by the CCTV cameras; our system will detect the face and recognize the criminal who is coming to that public place. The captured images of the person coming to that public place get compared with the criminal data we have in our database. If any person’s face from public place matches, the system will display their image on the system screen and will give the message with their name that the criminal is found and present in this public place. This system matching more than 80% of the captured images with database images.

Suggested Citation

Aherwadi, Nagnath B. and Chokshi, Deep and Pande, Dr. Sagar and Khamparia, Aditya, Criminal Identification System using Facial Recognition (July 12, 2021). Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2021, Available at SSRN: https://ssrn.com/abstract=3884827 or http://dx.doi.org/10.2139/ssrn.3884827

Nagnath B. Aherwadi

Lovely Professional University ( email )

Jalandhar, Punjab
India

Deep Chokshi

Lovely Professional University ( email )

Jalandhar, Punjab
India

Dr. Sagar Pande (Contact Author)

Lovely Professional University ( email )

Jalandhar, Punjab
India

Aditya Khamparia

Babasaheb Bhimrao Ambedkar University ( email )

India

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