Python & Arduino Image Processing Control System

Description

This project integrates Python-based image processing with Arduino hardware control. It demonstrates how to process visual data (e.g., object detection, color recognition) using Python 3 and execute physical actions through an Arduino microcontroller. Example implementations include LED indicators, buzzer alerts, and servo-motor actuation triggered by image analysis results.

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Hardware Pin Configuration (Arduino)

Component	Pin	Functionality
LED	10	Status indicator
Buzzer	11	Audio notifications
Servo	3	Mechanical control

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Example Workflow

1. Python Script: Detects objects/patterns in images.
2. Serial Communication: Sends commands (e.g., L = LED on, S = close servo) to Arduino.
3. Arduino Response: Executes actions based on received commands.

Command Reference

• L/l: Toggle LED
• B/b: Toggle buzzer
• S/s: Open/close servo (180° range)

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Included Code Snippets

• controller.ino: Arduino code for servo/LED/buzzer control.
• Additional files demonstrate Python integration (e.g., serial communication, OpenCV workflows).

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Schematics Note

⚠️ Circuit diagrams in project PDFs are illustrative and may require adjustments for specific hardware configurations. Verify connections against your components.

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Repository Structure

├── arduino/              # C/C++/Proton Basic control code  
│   └── controller.ino    # Servo/LED/buzzer example  
├── python/               # Image processing scripts (Python 3)  
└── docs/                 # PDFs with schematics and project guides