Paper Title

Finding Missing Persons Using AI

Article Identifiers

Registration ID: IJNRD_195248

Published ID: IJNRD2305362

DOI: Click Here to Get

Authors

Akassh M , Abinesh S , Abishek D

Keywords

Missing persons, Haar Cascade algorithm, Facial features, Real-time, Public spaces, Video feeds, Database

Abstract

This project proposes the development of a system to find missing persons using the Haar Cascade algorithm. The Haar Cascade algorithm is a machine learning-based approach used for object detection in images or videos. By training the algorithm to detect the missing person's face, the proposed system aims to analyse new images or videos to determine if the missing person is present, which can help in locating them. The proposed system will use images and videos of the missing person from various sources, such as social media, security cameras, and friends and family members. These images and videos will be used to train the Haar Cascade algorithm to recognize the missing person's face. Once the algorithm has been trained, it can be used to analyse new images or videos to determine if the missing person is present. The system will be designed to be user-friendly and accessible to everyone. It will be developed as a web-based application that can be accessed through a browser. The user will be able to upload images or videos of the missing person, and the system will analyse the input to determine if the missing person is present. If the missing person is detected, the system will alert the user or relevant authorities. The proposed system has the potential to complement existing methods for finding missing persons and provide a more efficient and effective way to locate missing persons. By developing a user-friendly and accessible system, the project hopes to make a meaningful impact in the lives of families and communities affected by missing persons cases.

How To Cite

"Finding Missing Persons Using AI", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d494-d498, May-2023, Available :https://ijnrd.org/papers/IJNRD2305362.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : d494-d498

Other Publication Details

Paper Reg. ID: IJNRD_195248

Published Paper Id: IJNRD2305362

Downloads: 000121217

Research Area: Engineering

Country: Avadi,Chennai, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305362.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305362

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area