Finding Missing Person Using AI

Abstract

The increasing number of missing person cases has become a serious social issue worldwide. Traditional methods of searching for missing individuals are time-consuming and often inefficient. This research proposes an Artificial Intelligence-based system that uses facial recognition technology to identify and locate missing person.

Introduction

This project presents an AI-based facial recognition system for identifying missing persons, designed to improve upon traditional, slow, and manual search methods used by law enforcement and families.

The system uses computer vision and deep learning techniques to automatically detect and match faces from uploaded images against a database of missing individuals collected from public sources, families, and authorities. Users can upload images of suspected or found individuals, which are then processed by the system for identification.

The methodology involves several key steps: data collection, image input, face detection, face feature extraction, and face matching. Face detection algorithms (such as Haar Cascade or MediaPipe) isolate facial regions, while deep learning models convert faces into numerical embeddings. These embeddings are compared using similarity measures like Euclidean distance or cosine similarity to identify potential matches.

The system also includes a user-friendly web interface (e.g., Streamlit) that allows users to upload images, view results, and manage missing person records, while administrators can verify matches and maintain the database.

Research shows that modern facial recognition methods like CNNs, FaceNet, and DeepFace significantly improve accuracy under varying conditions such as lighting and pose changes. However, challenges like image quality, privacy, and dataset limitations still exist.

Conclusion

The “Finding Missing Person Using AI” system provides an innovative solution to a significant problem by utilizing AI technology. The proposed method provides an effective solution to the problem by utilizing AI technology to find missing persons. The proposed method reduces the time and effort required to find missing persons by utilizing facial recognition technology. The proposed method provides good results in terms of accuracy and efficiency when good images are used. The proposed method provides a user-friendly interface to interact with the system by utilizing AI technology. The proposed method encounters some difficulties during the process of identifying missing persons due to changes in appearance, lighting conditions, and data. However, the proposed method provides a reliable solution to find missing persons. In conclusion, the proposed project provides a good example of utilizing AI technology to solve social problems. The proposed project can be improved by incorporating deep learning algorithms and surveillance systems to improve the efficiency of the proposed method. The proposed method can play a significant role in improving public safety by utilizing AI technology to find missing persons. The proposed method can assist law enforcement agencies in identifying missing persons more efficiently.

References

[1] VSchroff, F., Kalenichenko, D., & Philbin, J. (2015). FaceNet: A Unified Embedding for Face Recognition and Clustering. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). – Introduces a deep learning model that maps facial images into an embedding space for accurate face recognition . [2] https://arxiv.org/abs/1503.03832 [3] Gore, A., Nikam, A., Shaikh, A., Shelar, S., & Gadekar, A. (2023). AI Based Missing Person Search System. International Journal for Research in Applied Science and Engineering Technology. [4] Sowmiya, S., et al. (2024). Searching Missing People Based on Face Recognition using AI in Video SurveillanceSystem. https://www.granthaalayahpublication.org/Arts-Journal/ShodhKosh/article/view/4705 [5] Patil, S., Gaikar, P., Kare, D., & Pawar, S. (2021). Finding Missing Person Using AI. International Journal of Progressive Research in Science and Engineering. https://journal.ijprse.com/index.php/ijprse/article/view/304 [6] Venkatasalam, K., et al. (2024). AI-Assisted Missing Person Finder and Face Recognition using FaceNet Algorithm [7] Wang, X. (2023). Analysis of Face Recognition Technology Based on Deep Learning. – Reviews modern face recognition techniques including DeepFace, FaceNet, and ResNet

Copyright

Copyright © 2026 Shreya Tripathi, Suryansh Pandey, Prof. Ajay Kr. Srivastava, Er. Prabhat Kr. Yadav. This 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.