Computer vision / Open source experiment

Aircraft Detector

A Raspberry Pi and camera experiment for identifying aircraft against the sky.

View the GitHub repository
Role
Computer vision / hardware integration
Status
Open source experiment
Record date
Updated
Aircraft Detector diagram showing camera capture, OpenCV detection, tracking, optional ADS-B correlation, and SQLite review
Computer vision

01 / The problem

What had to change

A small edge device needs to separate aircraft from a changing sky background with limited compute.

02 / The constraints

What the system had to respect

  • The system runs on Raspberry Pi hardware.
  • Outdoor light and cloud conditions change continuously.
  • The experiment needs a simple path from camera input to detection output.

03 / The build

What I made

  • A Picamera2 and OpenCV workflow for motion and contrast detection.
  • Tracked sightings stored in SQLite, with an optional video-streaming web dashboard.
  • Optional ADS-B correlation when a compatible receiver is connected.

04 / The result

The useful change

The build creates a compact test bed for edge-based aircraft detection work.