Toward Digitalization: A Secure Approach to Find a Missing Person Using Facial Recognition Technology

TL;DR

This paper presents a secure and effective facial recognition-based system for finding missing persons, emphasizing security, design, and feasibility to improve upon existing solutions.

Contribution

The work introduces a novel secure facial recognition approach specifically designed for missing person identification, addressing security and usability concerns.

Findings

System successfully identifies missing persons in tested scenarios

Compared to existing systems, it offers enhanced security features

Demonstrates feasibility and effectiveness in real-world applications

Abstract

Facial Recognition is a technique, based on machine learning technology that can recognize a human being analyzing his facial profile, and is applied in solving various types of realworld problems nowadays. In this paper, a common real-world problem, finding a missing person has been solved in a secure and effective way with the help of facial recognition technology. Although there exist a few works on solving the problem, the proposed work is unique with respect to its security, design, and feasibility. Impeding intruders in participating in the processes and giving importance to both finders and family members of a missing person are two of the major features of this work. The proofs of the works of our system in finding a missing person have been described in the result section of the paper. The advantages that our system provides over the other existing systems can be realized from the comparisons, described in the result summary section of the paper. The work is capable of providing a worthy solution to find a missing person on the digital platform.