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An inventory tracking system built with a PIC16F877A microcontroller, utilizing IR sensors for real-time stock management. Designed for small businesses, it features a keypad and LCD interface for easy operation.

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IR Proximity Sensor-Based Inventory Stock Tracker

Efficient, accurate, and user-friendly inventory tracking designed for small businesses. This project leverages a PIC16F877A microcontroller and IR proximity sensor to streamline inventory management without the need for complex databases.

🎯 Purpose and Benefits

Manual inventory tracking can be time-consuming and error-prone. This system addresses these challenges by offering a cost-effective, real-time solution for managing stock levels, tailored for the needs of small businesses.

Key Benefits:

  • Eliminate Human Error: Automates stock tracking for greater accuracy.
  • Simple Operation: Intuitive keypad and LCD interface for easy use.
  • Portable System: Lightweight, with no reliance on external storage.

🔑 Features

  • Real-Time Stock Updates: Tracks item movement using IR sensor signals.
  • Four Functional Modes:
    1. Stock Tracker Mode: Automatically increment/decrement stock based on sensor detections.
    2. Browse Item Stocks: View current stock levels for all tracked items.
    3. Add Item ID: Register new items for tracking.
    4. Remove Item ID: Delete items from the system.
  • Customizable Tracking:
    • Supports up to 5 item IDs during runtime.
    • Assign unique 4-digit IDs to inventory items.
  • Clear Visual Feedback: Displays current stocks and menu options on a 16x2 LCD.

🛠️ Hardware Components

  • PIC16F877A Microcontroller: Core of the system for signal processing and control.
  • IR Proximity Sensor: Detects item movements with adjustable distance thresholds.
  • 3x4 Matrix Keypad with MM74C922 Encoder: Facilitates user input for menu navigation.
  • 16x2 LCD Display: Provides real-time feedback on stock and system status.

📊 Performance and Testing

The system was tested under various conditions to evaluate its reliability. Below are the detection success rates:

Object Type Lit Room Dark Room
White Object 19/20 15/20
Black (Non-Reflective) 2/20 0/20
Black (Reflective) 18/20 16/20

Observations:

  • Reflective objects are detected more reliably.
  • Detection improves significantly in well-lit environments.

🔍 Limitations

  1. Volatile Data: Stock data resets when the system powers off.
  2. Manual Item Selection: Users must select the item ID before tracking.
  3. Limited Capacity: Supports only 5 item IDs at a time, with a max stock of 100 per item.

💡 Recommendations for Future Enhancements

  • Replace the IR sensor with an ultrasonic sensor for improved accuracy.
  • Add persistent storage to retain data after shutdown.
  • Explore options for wireless data transfer and integration with external systems.

🔄 System Workflow

  1. Startup Menu: Choose from four operational modes.
  2. Stock Tracking:
    • Input the item ID to track.
    • Select increment or decrement for stock adjustments.
    • The system updates stock in real-time upon IR sensor detection.
  3. Browsing and Management:
    • Navigate through item stocks.
    • Add or remove item IDs via the keypad.

👥 Contributors

  • Matthew Caballero: Project Manager and Hardware Lead
  • Pedrito Edzel Resano: Software Development Lead
  • Paul Emmanuel Corsino: Software Co-Developer

Developed under the CpE 3201 course at the University of San Carlos, Cebu City.


📅 Project Timeline

Task Timeline
Proposal Approval April (4th week)
Hardware Setup May (1st week)
Software Development May (2nd week)
Testing & Debugging May (3rd week)
Submission May (4th week)

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An inventory tracking system built with a PIC16F877A microcontroller, utilizing IR sensors for real-time stock management. Designed for small businesses, it features a keypad and LCD interface for easy operation.

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