Billiard-AI

Playfully easy to become a snooker professional with an intelligent pool table

Watch the Video:

System designed to help a billiard player find the best next strike.

This project is the result of our Bachelor's Thesis at BFH TI.

Features

• Real-time billiard situation recognition and tracking using image processing.
• Cost-based billiard strike search using artificial intelligence over multiple breaks.
• Event-driven analytical simulation and playback animation.
• Interactive search and suggestions during play.

Documentation

What you see here has been developed during two projects, which have separate documentations:

Preliminary Project

Bachelor's Thesis

Built with

• OpenCV
• Intel RealSense SDK 2.0
• Unity
• C++ ;-D
• Project template

Authors

Luca Ritz & Lukas Seglias