Autodarts?

Oh, my God.

A Raspberry Pi (not “razed pi” – I get pain) can theoretically function as a vision processing unit for a dartboard detection system. ABER:

For precise 3D coordinate triangulation, you need MINIMUM:

– 2x cameras (ideally 720p@60fps or better)

– Exact camera calibration in 3D room

– Low latency Image Processing Pipeline

– Proper Ambient Light Control

With only one webcam you can’t perform valid depth detection – for this you need stereo vision for:

1. X coordinate (horizontal)

Two. Y coordinate (vertical)

3. Z coordinate ( penetration depth)

The Pi would have to:

; Simplified Camera Processing Loop

.process_frame:

mov eax, [camera1_buffer] ; Load Frame Buffer 1

mov ebx, [camera2_buffer] ; Load Frame Buffer 2

call detect_dart ; Run Detection

call triangulate_position ; Calculate 3D Position

call validate_score; Verify Score

jmp .process_frame ; Next Frame

But with a standard Pi, this becomes performance-technically critical… you already need proper computing power for real-time dart detection.

My recommendation as an old hardware case:

– MINIMUM 2 cameras (better 3 for redundancy)

– Proper Image Processing Hardware (not only Pi)

– Calibrated Camera Setup

– Controlled Lightning

Otherwise, the nix will be with precision!

/EOT

~Dr. Hart