UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 9
September-2024
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2409327


Registration ID:
548285

Page Number

d225-d230

Share This Article


Jetir RMS

Title

Face recognition using AI

Authors

Abstract

Facial recognition using AI is a rapidly evolving technology that uses machine learning algorithms and neural networks to identify and authenticate people based on their facial features. This technology has three main components: picture acquisition, feature extraction, and classification.Initially, high-resolution pictures or video frames of faces are recorded with cameras or sensors. Advanced preprocessing techniques are then used to improve image quality and normalize differences in lighting and angle. Next, feature extraction algorithms examine facial landmarks and traits such as eye distance, nose shape, and facial curves. Deep learning methods, particularly convolutional neural networks (s), are frequently used to extract these properties with high accuracy.Once extracted, the features are compared to a database of known faces using a variety of categorization methods. Each individual's unique facial signature is generated by the AI system and saved in a database. During the recognition phase, the system compares new facial photos to the database to identify or validate the person in issue. Facial recognition technology has numerous applications, including security, surveillance, personalized customer experiences, and even medical diagnoses. Despite its advantages, there are ongoing discussions about privacy, data security, and ethical concerns. To address these concerns while harnessing its potential to improve numerous fields, the appropriate use of facial recognition technology necessitates comprehensive safeguards and openness. Facial recognition utilizing AI is a big step forward in biometric identification, providing accurate and efficient techniques for detecting and authenticating persons. However, its implementation must be carefully planned in order to strike a balance between technological innovation and ethical and privacy concerns.

Key Words

Machine Learning, Machine Learning, Machine Learning, Face Detection, Image Processing, Security Applications

Cite This Article

"Face recognition using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.d225-d230, September-2024, Available :http://www.jetir.org/papers/JETIR2409327.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 recognition using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppd225-d230, September-2024, Available at : http://www.jetir.org/papers/JETIR2409327.pdf

Publication Details

Published Paper ID: JETIR2409327
Registration ID: 548285
Published In: Volume 11 | Issue 9 | Year September-2024
DOI (Digital Object Identifier):
Page No: d225-d230
Country: Tirunelveli, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00028

Print This Page

Current Call For Paper

Jetir RMS