SmartSort: Robotic Inventory Management System 🤖📦

SmartSort is a mini project that automates warehouse inventory using a robotic pick-and-place system. It detects boxes on a conveyor, scans their QR codes, and uses a robotic arm to sort items into shelves based on the data. This system stores inventory information in a CSV file for easy tracking.

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🔧 Features

• 📷 QR Code detection using a camera
• 🤖 Suction-based robotic arm to pick and place items
• 🛠️ Automated sorting based on item data
• 📁 Inventory tracking stored in a CSV file
• 🔌 Integrates with object detectors, sensors, and conveyors

🧰 Tech Stack

• Python
• OpenCV – for image processing
• DepthAI – for camera input and object detection
• Pandas – for handling and saving inventory data
• Pillow – for image operations
• pyzbar – for decoding QR codes
• qrcode – for generating QR codes
• pymodbus – for communicating with Modbus-based devices (like PLCs)
• Hardware : Camera, Conveyor Belt, Robotic Arm, Laser Sensor

🚀 How to Run the Project

1. Clone the Repository

git clone https://github.com/your-username/smartsort-inventory-system.git
cd smartsort-inventory-system

2. Create and Activate a Virtual Environment

python -m venv venv
venv\Scripts\activate          # For Windows
# or
source venv/bin/activate         # For Linux/Mac

3. Install Dependencies

pip install -r requirements.txt

4. Run the Main Script

python main.py

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📦 QR Code Format (Example)

Each QR code should contain a JSON string like:

{
  "Product_ID": "101",
  "Product_Name": "Kid Pants",
  "Category": "kids wear",
  "Quantity": 10,
}

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👥 Team Members / Contributors

• @Ashutosh-agarwal2004
• @Gayatri9175
• @Prajakta955

📄 License

This project is licensed under the MIT License.