xl3ehindtim/opencv-glow

Computer vision experiment using OpenCV to detect hands on diffused acrylic glass tubes designed for our GLOW 2024 light art project.

GLOW - Hand Detection

This repository contains the codebase for a computer vision program using OpenCV to detect hands on diffused acrylic glass tubes designed for our GLOW light art project.

Project overview

This project utilizes OpenCV libraries to implement hand detection algorithms for an interactive light art installation. The code aims to identify hands touching or interacting with an acrylic glass tube to trigger light effects or other visual responses.

This is a sidetrack to explore the possibilities of using computer vision in our GLOW project. If you are interested in the main codebase explore this repository.

Dependencies

This project relies on the following dependencies:

• OpenCV (https://opencv.org/)
• Python (https://www.python.org/)

Setup

pip install -r requirements.txt
python main.py

Contributors

opencv-glow's Issues

Noise filtering

There is too much noise in the frames, find out if this can be filtered.