intruder!🚶
zone⚠️
watching👁️
A person crossing into the restricted polygon triggers an instant alert. Illustrative walkthrough.
YOLOv11CPU-optimised person detection
Polygonzones drawn on the live feed
30 FPSlive stream display
Snapshotsaved with every alert
What it does
An intrusion-detection system that watches user-defined restricted zones on an RTSP camera and alerts only when a person crosses into them. Zones are drawn as polygons directly on the live video; every alert stores a timestamped image with the bounding box and zone overlay, and a dashboard tracks active vs resolved alerts and statistics. It's CPU-optimised, so it runs without a GPU.
How it works
- Step 1. You draw the restricted polygon directly on the camera view (minimum three points) and name it.
- Step 2. A CPU-optimised YOLOv11 model detects people in every frame at a confidence threshold above 50%.
- Step 3. When a detected person's footprint enters a zone, the system fires — with a 2-second cooldown so one intrusion doesn't spam alerts.
- Step 4. Each alert saves a snapshot with box and zone overlay, a timestamp, and a status you can resolve from the web dashboard.
Where it's used
- Hazardous machinery areas
- Secure storage
- Perimeter security
- Platform edges
Tech stack
Build something like this
This project is part of our computer vision development and a fixed-price computer vision pilot. Tell us your use case and we will reply within one business day with a first step, a price and a date.
Architecture
How the pieces fit
- 01RTSP cameraauto-reconnecting stream
- 02YOLOv11person detection, CPU-optimised
- 03Zone testperson footprint inside polygon?
- 04Alertimage + timestamp · dashboard · stats
InputProcessingOutput
Want something like Restricted Zone Monitor?
Tell us your use case — we'll scope a build that fits.