UGC Approved Journal no 63975(19)

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

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2205B27


Registration ID:
403455

Page Number

k219-k225

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Title

REAL-TIME FACE RECOGNITION USING FACENET

Abstract

The face is one of the simplest ways to differentiate the individual identity of every other. Face recognition is a particular identification system that uses the characteristics of a person to identify the person's identity. The mortal face recognition procedure principally consists of two phases, videlicet face discovery, where this process takes place veritably fleetly in humans, except under conditions where the object is located at a short distance down, the coming is the preface, which recognizes a face as individualizes. Processing of mortal faces finds operation in colorful disciplines like law enforcement and surveillance, entertainment (interactive videotape games), information security, smart cards, etc. Several of these operations are interactive and bear dependable and fast face processing. A general face processing system may comprise face discovery, recognition, shadowing, and picture. Real-time face Identification and picture are challenging due to dynamic changes in human movements, expressions, and patterns. Also, more astronomically, the literalism of digital mortal representations is a crucial question for a range of new media other than immersive virtual surroundings, like videoconferencing, mobile telephony, online gaming, instant messaging, and any other media that includes online representations of druggies. To break the problem, we've trained a FaceNet convolutional neural network on the data which was collected related to the faces of individualities. Our model was suitable to classify the face up to a delicacy of 98.

Key Words

FaceNet, Face Recognition

Cite This Article

"REAL-TIME FACE RECOGNITION USING FACENET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k219-k225, May-2022, Available :http://www.jetir.org/papers/JETIR2205B27.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

"REAL-TIME FACE RECOGNITION USING FACENET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk219-k225, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B27.pdf

Publication Details

Published Paper ID: JETIR2205B27
Registration ID: 403455
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: k219-k225
Country: RKPuram,Saroor nagar, Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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