Next-Gen Data Analytics and Intelligent Automation
Smart Surveillance System for Missing Person & Criminal Detection with Real-Time Alerting
Authors: Arti Patle, Deepika Ajalkar, Aditya Wagh, Anurag Jaunjalkar and Siddhant Kadgaye
Publishing Date: 12-04-2026
ISBN: 978-81-975670-6-3
Abstract
The increasing number of missing person cases and urban crimes has highlighted a serious gap in traditional CCTV monitoring, which still depends on continuous human attention and often fails to trigger timely action. In this work, we develop a smart surveillance system that can automatically detect weapons, spot suspicious behavior, and recognize persons of interest in real time. The system combines three different computer-vision components: YOLOv8 for firearm and sharpobject detection, OpenCV-based face recognition for matching missing individuals or flagged criminals, and YOLOv11 for identifying abnormal activities such as violent gestures or aggressive movements. Rather than operating independently, these modules were fused into a single processing pipeline that runs on live camera feeds and immediately sends alerts to authorities when a threat or match is found. During evaluation, the system performed reliably under varied lighting and crowd conditions, achieving about 95% mAP in weapon detection, roughly 93% accuracy in face recognition, and close to 90% precision in suspicious-activity classification, while maintaining a real-time processing rate of 30 FPS with an alert delay of under two seconds. These results suggest that the proposed model can meaningfully support surveillance teams by reducing manual monitoring effort, lowering FN/FP ratios, and accelerating on-ground response during critical incidents.
Keywords
YOLOv8, YOLOv11, OpenCV, Face Recognition, Real-Time Alert, GoogleCollab, AI.
Cite as
Arti Patle, Deepika Ajalkar, Aditya Wagh, Anurag Jaunjalkar and Siddhant Kadgaye, "Smart Surveillance System for Missing Person & Criminal Detection with Real-Time Alerting", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2026, pp. 96-107. https://doi.org/10.56155/978-81-975670-6-3-9