Industrial Automation System with QR Code

Overview

This project is an integrated industrial automation system that automatically classifies and sorts products via QR Code scanning. It combines image capture, a robust backend, and Arduino-based physical control to optimize production line workflows.

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Academic Information

• Course: Computer Engineering
• University: Faculdade Metropolitana de Manaus (FAMETRO)
• Duration: 5 Years (2020 - 2025)

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System Architecture

• Capture and Decoding:

  • Camera with OpenCV for QR Code scanning and preprocessing.
  • Noise filtering and perspective correction for high accuracy.

• Backend (FastAPI):

  • Asynchronous REST API for data reception, validation, and storage.
  • Serial communication with Arduino for actuator commands.
  • SQLite database for persistence and analytics.
  • Detailed logging for monitoring and debugging.
  • CORS enabled for frontend integration.

• Arduino Firmware:

  • Servo and conveyor motor control based on backend commands.
  • JSON message parsing from serial communication.
  • LCD feedback for real-time system status.

• Frontend:

  • React Native dashboard for real-time stats and history visualization.

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Key Features

• Real-time QR Code reading and automatic validation.
• Physical sorting of products by category (e.g., smartphones, tablets).
• Data persistence with analytics (success rate, average processing time, etc).
• Robust serial communication with auto-reconnect.
• Responsive mobile app for monitoring.

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Technologies Used

Component	Technologies / Libraries
Backend	Python, FastAPI, SQLite, PySerial
Capture	OpenCV, Pyzbar
Firmware	Arduino (Servo.h, ArduinoJson, Wire.h)
Frontend	React Native, Expo
Logging	Python logging with configurable levels

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Quick Setup

Backend

1. Install dependencies:

pip install fastapi uvicorn pyserial sqlite3 python-multipart

2. Set the Arduino serial port (arduino_port) in the code.
3. Run the server:

uvicorn main:app --reload

Arduino

• Upload the firmware via Arduino IDE.

Frontend

• Follow Expo and React Native setup instructions to run the app.

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Repository Structure

/backend       # FastAPI backend and SQLite database
/arduino       # Arduino firmware (.ino files)
/frontend      # React Native mobile app
/docs          # Technical documentation and diagrams

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Notes

• Modular architecture designed for scalability and easy adaptation.
• Optimized serial communication for low latency and reliability.
• Monitoring and logging for proactive maintenance.

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Contact

For questions or collaborations, reach out: arcemateuss@gmail.com

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Feel free to open issues or contribute! 🚀