Sagar Mahajan®
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05 / 14Computer Vision Suite

Automated Thief & Intrusion Detection YOLOv11

Security and surveillance anomaly detection system built on YOLOv11 for real-time alerting.

automated-thief-intrusion-detection-yolov11.build
Automated Thief & Intrusion Detection YOLOv11
Overview

What it does

Security and surveillance anomaly detection system built on YOLOv11 for real-time alerting.

The Problem

Why it needed building

Traditional motion-triggered surveillance alerts are noisy — false alarms from shadows, animals, or weather erode trust in the system until people stop responding to it.

The Approach

How it was engineered

Built an anomaly-detection layer on top of YOLOv11 that classifies intrusion-relevant behavior rather than raw motion, streaming verified alerts over WebSockets the moment a real event is confirmed.

The Outcome

Where it landed

The system reaches a 98.9% true intrusion detection rate while cutting false alarms by 92%, with alerts firing in under a second.