UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 5
May-2021
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:
JETIR2105418


Registration ID:
309401

Page Number

d239-d248

Share This Article


Jetir RMS

Title

NEST - Missing Child Tracking and Identifying Using Facial Recognition

Abstract

A child going missing is a suffering past bearing not only for the parents and the child but for the entire community. The misery is a social hindrance that every government has tried to hitch up. There are various reasons that reinforce the computerization of a system. The chief among them is speed, accuracy, and efficiency. Machines with relevant data, fitting algorithms, and sufficient computational resources can satisfy user requirements much more effectively than the manual system with its tedious paperwork. Another prime reason is the scalability with the possibility to integrate all the subsystems involved. For a country like India, manual matching and monitoring each detail and data of a child missing is tedious if not impossible. The project titled Nest is an initiative aiming to help missing young ones find their loved ones back. Nest is an online web portal connecting Police Departments and NGOs across the country with a database to store the details of the missing and the found children, embedded with a facial recognition system to serve the purpose.

Key Words

Missing, child, facial recognition, lost, found, face, tracking

Cite This Article

"NEST - Missing Child Tracking and Identifying Using Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.d239-d248, May-2021, Available :http://www.jetir.org/papers/JETIR2105418.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

"NEST - Missing Child Tracking and Identifying Using Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppd239-d248, May-2021, Available at : http://www.jetir.org/papers/JETIR2105418.pdf

Publication Details

Published Paper ID: JETIR2105418
Registration ID: 309401
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: d239-d248
Country: Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000803

Print This Page

Current Call For Paper

Jetir RMS