Finding Missing Person Using Deep Learning

Abstract

Locating missing individuals is a critical and time-sensitive task that requires accurate and efficient methods. Conventional search techniques often rely on manual efforts and limited resources, making it difficult to identify missing persons quickly. This paper presents a novel approach for tracing missing individuals using Artificial Intelligence (AI) techniques. The proposed AI-based system leverages advanced technologies such as machine learning and computer vision to enhance the search and identification process. By utilizing large-scale facial image datasets along with deep learning models, the system can detect and match missing individuals with possible sightings or images collected from surveillance systems, social media, and public records. Using the MTCNN algorithm, the system performs facial detection and analysis, allowing precise comparison between missing individuals and faces identified within the collected data.