UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2206647


Registration ID:
404718

Page Number

g374-g380

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Title

Face Detection and Comparison Using Combinational Deep Learning Techniques for Existing and Prospective Criminal Identification

Abstract

It is apparent that the crimes are increasing day by day in all the states in this India. We propose Face Detection and Comparison using Combinational Deep Learning Techniques as an application that is used to aid the identification of existing criminals and alert a potential criminal activity. This detector can be used in all kinds of public places like malls, cinema theatres and any crowded areas. The cameras in public places detect the faces, The system uses a combination of two methods; face recognition and verification and it also includes sentiment analysis to identify new criminals who have not been registered in the police records by scanning the public reactions such as fear and anxiety. The face recognition is performed on acquired images, then it verifies that face using a face classification method that uses Convolution Neural Network which is integrated in the system. The system which is tested does the accurate performance to recognize the face within the requirement limits. After recognizing the face, it verifies that face through a criminal database. Or if the model identifies any suspicious features and activities, it notifies the police mentioning prospective suspect. If the criminal is spotted then the police will receive an alert in the control room like “criminal spotted” then control room operators send the information to the nearest police to catch him. The police will receive the clear photo of that criminal, the location where he was spotted and information of his crime.

Key Words

Face Detection, Face Identification, Face Comparison, Sentiment Analysis, Convolutional Neural Networks, Crime Detection, Smart Alert

Cite This Article

"Face Detection and Comparison Using Combinational Deep Learning Techniques for Existing and Prospective Criminal Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.g374-g380, June-2022, Available :http://www.jetir.org/papers/JETIR2206647.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

"Face Detection and Comparison Using Combinational Deep Learning Techniques for Existing and Prospective Criminal Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppg374-g380, June-2022, Available at : http://www.jetir.org/papers/JETIR2206647.pdf

Publication Details

Published Paper ID: JETIR2206647
Registration ID: 404718
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: g374-g380
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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