ArUco markers Detection & AR Breadboard Visualizer

An augmented reality application that detects ArUco markers and visualizes electronic components with 3D models.

🎓 Project Background

Developed for course Invention Design 2 in the Interaction Design program (4th semester) at HfG Schwäbisch Gmünd. Created to test the functionality of our project concept CircuitSpace - an innovative approach to visualizing and understanding electronic components through augmented reality.

🔗 University Project: https://ausstellung.hfg-gmuend.de/s-2525/projekte/circuitspace/studiengang:ig

Features

• ArUco Marker Detection: Real-time detection of electronic components
• 3D Model Visualization: Renders textured 3D models over detected markers
• Multiple AR Modes: Basic detection, 3D visualization, and textured rendering
• Component Recognition: Arduino, breadboard, LEDs, resistors, potentiometers, jumper wires

Installation

Prerequisites

• Python 3.7+
• Webcam
• Printed ArUco markers (DICT_6X6_250)

Setup

1. Create virtual environment:

   py -m venv .venv
   .\.venv\Scripts\activate.bat

2. Install dependencies:

   pip install -r requirements.txt

Usage

Run the application:

python src\main.py

Choose AR mode:

• 1: Basic marker detection
• 2: 3D visualization

Controls: Press 'q' to quit

ArUco Markers

Print markers using DICT_6X6_250:

• ID 0: Arduino
• ID 1: Breadboard
• ID 2: LED
• ID 3: Resistor
• ID 4: Potentiometer
• ID 5: Jumper Wires

Project Structure

src/
├── main.py              # Main application
├── ar_test.py           # Basic AR mode
├── ar_modern_ui.py      # Enhanced UI mode  
├── ar_textured.py       # Textured rendering
└── camera_utils.py      # Camera utilities
assets/
├── models/              # 3D models (.obj, .glb)
└── images/              # Textures