Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{186580,
author = {Pothuri srihari rao and Dr Prasada Rao koduru and Mr katikam Mahesh},
title = {AI FINDER - AN INTELLIGENT FRAMEWORK FOR FINDING MISSING PERSONS USING FACE MATCH ALGORITHM},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {1969-1976},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=186580},
abstract = {The increasing global count of missing persons, exceeding 55 million according to the International Committee of the Red Cross, demands a technologically advanced solution to streamline identification efforts. Traditional search mechanisms relying on manual labour and public awareness are often slow and resource-intensive, delaying critical intervention timelines. This research introduces AI Finder, an intelligent framework that utilizes deep learning and facial recognition algorithms to identify missing individuals with speed and precision. The system employs a robust web interface that collects photographic inputs of missing persons and applies a custom-built face match algorithm, trained on convolutional neural networks (CNN) and optimized via transfer learning, to scan and compare these inputs against a dynamic and extensive face database. It incorporates feedback and sentiment analysis to engage users and inform law enforcement bodies in real time. Comparative benchmarking with conventional approaches demonstrates enhanced accuracy (95.2%) and reduced processing time (32% faster). By embedding explainable AI and continuous learning modules, AI Finder is a scalable and responsive tool adaptable to real-world challenges. This framework not only improves identification success rates but also represents a leap toward technologically enabled humanitarian aid in crisis management.},
keywords = {Face Recognition, Missing Persons, Deep Learning, Artificial Intelligence, Humanitarian AI.},
month = {November},
}
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry