CRIMINAL IDENTIFICATION FOR LOWRESOLUTION SURVEILLANCE


EOI: 10.11242/viva-tech.01.04.006

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Citation

Ms. Saniya Prashant Patil, Ms. Grishma Sunil Yadav, Ms. Shrutika Devdas Kudalkar, Prof. Sunita Naik, "CRIMINAL IDENTIFICATION FOR LOWRESOLUTION SURVEILLANCE", VIVA-IJRI Volume 1, Issue 4, Article 6, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

A Criminal Identification System allows the user to identify a certain criminal based on their biometrics. With advancements in security technology, CCTV cameras have been installed in many public and private areas to provide surveillance activities. The CCTV footage becomes crucial for understanding of the criminal activities that take place and to detect suspects. Additionallywhen a criminal is found it is difficult to locate and track him with just his image if he is on the run. Currently this procedure consists of finding such people in CCTV surveillance footage manually which is time consuming. It is also a tedious process as the resolution for such CCTV cameras is quite low. As a solution to these issues, the proposed system is developed to go through real time surveillance footage, detect and recognize the criminals based on reference datasets of criminals. The use of facial recognition for identifying criminals proves to bebeneficial. Once the best match is found the real time cropped image of the recognized criminal is saved which can be accessed by authorized officials for locating and tracking criminals or for further investigative use.

Keywords

Criminal Identification System, Detection, Face Recognition System, Facial Recognition.

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