Beating Super Hexagon With Computer Vision

Two great examples of using Computer Vision to beat Super Hexagon.

Super Hexagon is a really hard game. The goal of Super Hexagon is to control a small triangle which circles around a central hexagon (which occasionally collapses into a pentagon or square in the hexagon and hyper hexagon difficulty) attempting to avoid contact with incoming "walls". 

First example from Valentin Trimaille's Super Hexagon bot:

Ray Casting Wall Detection

The point is that a bot for this game makes a really nice image processing project to start learning OpenCV: simple shapes but lots of human disturbing effects, fast-paced game meaning real-time is required, very simple controls: rotate CW or CCW... (full article)

Second example from Shaun LeBron's  Super Hexagon Unwrapper:

This project is written in Python. It employs Computer Vision algorithms provided by SimpleCV to establish a reference frame in the image. Then it warps (or "unwraps") the image based on that reference frame, using OpenGL fragment shaders... (github code) (full explanation)

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

IDS NXT is the future: One platform, countless possibilities

IDS NXT is the future: One platform, countless possibilities

IDS NXT: a platform for a new generation of vision systems for industrial applications. It lays the groundwork to provide easy-to-use yet flexible complete systems that can be used to implement all steps of a vision solution. With IDS NXT ocean, a complete solution especially for AI-based image processing is now available. It allows to solve tasks where classic, rule-based image processing has reached its limits - without any programming effort.