UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 12
December-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2412024


Registration ID:
551699

Page Number

a258-a263

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Title

CRIMINAL IDENTIFICATION SYSTEM USING VIDEO ANALYTICS

Abstract

Facial recognition technology (FRT) plays an essential role in modern criminal identification processes. Leveraging biometric analysis, FRT allows law enforcement to efficiently and accurately identify individuals based on unique facial features. This paper explores recent advancements in FRT, its application in criminal investigations, and the challenges associated with its implementation, including privacy and ethical considerations. By surveying multiple research works, we aim to provide a comprehensive view of FRT’s role in criminal justice and propose future directions for improving its effectiveness and societal impact. The criminal identification system using video analytics process is a cornerstone of modern law enforcement and security. It plays a vital role in ensuring public safety, maintaining law and order, and helping authorities identify suspects accurately. Traditional identification methods rely on fingerprint analysis, photographic identification, and eyewitness testimony, which often suffer from various limitations, such as time consumption and human error.

Key Words

Facial Recognition Technology, Criminal Identification, Biometric Analysis, Privacy Concerns, Law Enforcement. The use of AI-driven face recognition, behavior analysis, and data aggregation can revolutionize the accuracy and efficiency of criminal identification systems.

Cite This Article

"CRIMINAL IDENTIFICATION SYSTEM USING VIDEO ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.a258-a263, December-2024, Available :http://www.jetir.org/papers/JETIR2412024.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CRIMINAL IDENTIFICATION SYSTEM USING VIDEO ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppa258-a263, December-2024, Available at : http://www.jetir.org/papers/JETIR2412024.pdf

Publication Details

Published Paper ID: JETIR2412024
Registration ID: 551699
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier):
Page No: a258-a263
Country: Bengaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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