https://github.com/es-alexander/interactive-projectivity-open

Interactive projections using computer vision
https://github.com/es-alexander/interactive-projectivity-open

Last synced: 11 months ago
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Interactive projections using computer vision

• Host: GitHub
• URL: https://github.com/es-alexander/interactive-projectivity-open
• Owner: ES-Alexander
• License: lgpl-3.0
• Created: 2019-11-02T13:44:50.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-02-24T22:41:17.000Z (over 6 years ago)
• Last Synced: 2025-06-12T11:01:42.095Z (about 1 year ago)
• Language: Python
• Size: 5.93 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# interactive-projectivity-open

A framework for detecting interactions with projections using computer vision on a camera feed.

## About

Developed as part of my honours thesis as a modular, expandable framework allowing for simple tracking and control of interactions with a projector screen. Potential uses include mirroring a laser pointer onto multiple screens during a presentation, and/or for a recording, and with sufficient algorithmic advances the possibility of remotely controlling a computer via a large interactive projection, using one or more laser pointers, fingers, or other interaction methods.

## Features

- Robust screen detection

- Background lighting compensation

- Background subtraction using screenshots of screen being projected

- Real-time detection and tracking of a laser-pointer on a screen

- Mouse control for following detected interactions

- Kalman compensation for improved tracking of interactions

## Installation and Running

Clone or download the repository code to your computer.

Install `pyautogui`, `mss`, `numpy`, `opencv-python`, `overrides`, `matplotlib`, and `edgy-lines` using `pip`.

Navigate to where you have the repository code, and run `controller.py` from the command line (use `python3 controller.py --help` for help and options).

## Attributions

This project builds upon and uses existing open-source projects as below:

- a significantly modified form of the Kalman Filter code provided at https://github.com/Myzhar/simple-opencv-kalman-tracker, available under the LGPLv3

- `pyautogui` for mouse control, available under BSD 3-Clause "New" or "Revised" License

- `mss` for fast cross-platform screenshots, available under the MIT License

- `opencv-python` for computer vision, available under 3-Clause BSD License

- `overrides` for checking overrides of abstract methods, available under Apache License, Version 2.0

- `numpy` for fast array processing, available under BSD License