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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54398
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
11/24/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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