Byotics

🖥 Launch Site | OpenCV | Contribution showcase to 2016's MakerFestival Toronto

Proof-of-Concepts ⁺

OpenCV prototype linked integrate frameworks using HAAR Classification and Dlib & CLM Face Detection models composed by a collection of miscellaneous Machine Learning, Computer Vision, Image Processing, and Linear Algebra algorithms.

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Dlib & CLM face detection visualized as a real-time generated output

About

Byotics was created at the 2016 Global Game Jam in Toronto, and it uses single-celled organisms to play the classic arcade game Pong.

This project incorporates general foundational cocnepts of biology, computer science, augmented reality together where others might want to incorporate into their own projects as an interest project in biocomputation.

Lab T.O. Co-working hosted a demo night on June 17th, 2016, bringing access to these technologies, under the guidance of Byotics co-creator Constant Mori

Exhibited at Lab T.O.

💻 🎮 Stack

Technologies

augmented reality
generative adversarial networks
biocomputation
lab-on-a-chip

Languages

Java
C++
HTML / CSS / JS

Libraries

openCV

Brightess Binary Feature (BBF) - Object Detection
Oriented FAST and Rotated BRIEF (ORB) - Object Orientation Alignment / Keypoint Detection
Haar-cascade Detection Classifier
CLM Trackr - Landmark Detection using nodes relative to tanhs
Dlib Framework - Edge Detection using lines drawn between two nodes

Processing

arm7
controlP5
java.awt.Rectangle
gab.opencv
video

Hardware

Arduino Uno
XYZ Interactive ZX Gesture Sensor
Logitic web camera

+ - openCV version used is no longer maintained as there are better efficient frameworks available now.

mori-c/byotics-makerfestival