A Raspberry Pi-based system that detects AprilTags using the PiCamera and provides a web interface via Flask.

• Clean Separation: Backend and frontend components are clearly separated
• Flask Web Interface: Modern responsive web interface for viewing the detection stream
• Real-time Statistics: Live updates of detection counts, FPS, and detection times
• Simplified Detection: Focuses on the most common AprilTag family (tag36h11) for reliability
• Modular Design: Easily extensible with additional features

1. Clone this repository:

   git clone https://github.com/ZachariahJ/AprilTag_Position_System
   cd AprilTag_Position_System

2. Install required dependencies:

   pip install -r requirements.txt

3. Install Raspberry Pi specific dependencies:

   sudo apt-get update
   sudo apt-get install -y python3-picamera2

1. Run the application:

   python app.py

2. Open a web browser and navigate to:

   http://<raspberry_pi_ip>:5000
   

1. "Unrecognized tag family name":

   • This error occurs when the AprilTag detector receives incorrect family format
   • Solution: Make sure to pass families as a list, not a string

2. Camera not working:

   • Check that the camera is properly connected
   • Ensure the camera is enabled in Raspberry Pi configuration

3. Low FPS:

   • Try reducing the resolution in camera_manager.py
   • Set quad_decimate to a higher value (e.g., 2.0) for faster processing

• To use different tag families: Edit the tag_family variable in backend/apriltag_detector.py
• To change the camera resolution: Modify the resolution parameter in app.py
• To customize the UI: Edit the files in the frontend directory

This project is released under the MIT License.