Red Object Controlled Angle System

🔧 Project Name:

Red Object-Based Angle Controller Using Python, Arduino, and Web UI

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📘 Description:

This project blends computer vision, microcontroller programming, and UI design into a single smart system. A red object is tracked by a webcam using Python. The number of red objects detected (up to 3) is converted into a corresponding angle and sent to an Arduino. The Arduino lights up LEDs and rotates a servo accordingly. An optional web interface displays red blocks to represent each detected object, acting as a visual simulation.

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🧠 How It Works:

▶ Python Script (red_tracker.py)

• Uses OpenCV to open the webcam and convert video to HSV format.
• Detects red-colored regions using two HSV masks.
• Counts distinct red blobs that exceed a set size.
• Converts the count (0–3) to an angle (0°, 45°, 90°, 135°).
• Sends the count to Arduino via USB serial.
• Displays live camera feed with red highlights and angle information.

▶ Arduino Code (servo_led_control.ino)

• Waits for incoming number from Python over serial.

• Uses 3 LEDs to show detection level:

  • 0 → All LEDs OFF
  • 1 → LED1 ON
  • 2 → LED1 + LED2 ON
  • 3 → All LEDs ON

• Controls a servo motor’s angle (based on count × 45°), capped at 135°.

▶ Web Interface (index.html + style.css + script.js)

• Cute interactive UI with 4 angle buttons: 0°, 45°, 90°, 135°.
• When pressed, the corresponding number of bright red blocks is shown.
• Simulates what the Python+Arduino system would do physically.

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💻 Tech Stack:

• Python 3.10.x
• OpenCV for color tracking
• PySerial for Python–Arduino communication
• Arduino Uno
• HTML/CSS/JS for web UI
• Hardware: LEDs, SG90 Servo, Breadboard, Wires

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⚙ Folder Structure:

project-folder/
│
├── python-code/
│   └── red_tracker.py
├── arduino-code/
│   └── servo_led_control.ino
├── web-ui/
│   ├── index.html
│   ├── style.css
│   └── script.js

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📊 Detection Logic Table:

Red Objects Seen	Angle	LEDs Lit
0	0°	None
1	45°	LED1
2	90°	LED1 + LED2
3 or more	135°	LED1 + LED2 + LED3

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🚀 Future Ideas:

• Replace red detection with AI-based gesture tracking (e.g., MediaPipe).
• Use a mobile-controlled web app (Flask + JS) to wirelessly trigger Arduino.
• Add OLED/LCD display on Arduino side for showing current angle.

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👤 Author

Hadia — Computer Science student exploring hands-on tech integrations.

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📜 License

Open-source for educational use. Please credit properly if reused.

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