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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54398

A Transformer-Ready Facial Recognition Platform for Locating Missing Individuals with Real-Time Community Alerts

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54398

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54398

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DMK

Diliya M. Khan

GSR

Gayathri S. R

GSR

Gowri S. R

HAP

Harine A. P

JSSS

J. S. Sanjana Sankar

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Abstract

Every year, thousands of people go missing worldwide, creating emotional and operational challenges for families and law enforcement. SafeReturns++ is an AI-driven platform that uses facial recognition—combining YOLOv8-based face detection with ArcFace-style embeddings—to rapidly identify missing individuals from CCTV feeds and citizen-uploaded images or live video. The system supports case registration via a web portal, performs real-time detection, alignment, embedding, and vector search, and automatically notifies families and authorities upon a match. Geo-tagged sightings generate route maps and community alerts. Evaluated on public datasets and a curated missing-person test set, SafeReturns++ delivers a face detection [email protected] of 96.8%, identification accuracy of 98.9% at 0.1% FAR, and sub-150 ms latency on commodity GPUs. These results show that an AI-powered, community-supported workflow can significantly accelerate and scale missing-person investigations.

KEYWORDS

Facial recognition Missing person search YOLOv8 ArcFace Vision transformer Real-time video analytics Community alerting AI ethics.

Cite This Article

Diliya M. Khan, Gayathri S. R, Gowri S. R, Harine A. P, J. S. Sanjana Sankar, "A Transformer-Ready Facial Recognition Platform for Locating Missing Individuals with Real-Time Community Alerts," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM54398

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Publication Date

11/24/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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