Recycle Or Not Bot

This project allows users to hold an item in front of their cameras and receive live feedback on the item's recyclability.

Note: While functional, the current model's accuracy may vary depending on lighting conditions, item positioning, and object types. We are continuously working to improve the detection accuracy and welcome community feedback for enhancement.

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Prerequisites

• Node.js and npm installed
• Python 3.8 or higher
• Webcam access

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Technologies Used

• Flask: Back-end framework used for handling HTTP POST requests to initiate real-time object detection
• React: Front-end framework used for building the user interface
• YOLOv8: Computer vision model used for object detection and classification in real-time
• OpenCV: Library used for camera access, image processing, and drawing detection overlays

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Features

1. Real-Time Object Detection:

   • Uses YOLOv8 model for live video processing
   • Processes webcam feed to detect objects in real-time
   • Identifies common recyclable items (bottles, cups, tin cans)

2. Bounding Box Visualization:

   • Draws green bounding boxes around detected recyclable items
   • Displays red bounding boxes for non-recyclable items
   • Shows confidence scores and class labels for each detection

3. Class Filtering:

   • Implements selective detection focusing on recyclable items
   • Customizable class list for specific recycling needs

Setup Instructions

To run this project locally:

1. Clone the Repository

git clone https://github.com/joshmre/computer-vision-webapp.git
cd computer-vision-webapp

2. Install Dependencies

Front-End:

npm install

Back-End:

Navigate to the back-end directory (e.g., server) and install dependencies:

cd server
pip install flask
pip install flask-cors
pip install opencv-python
pip install ultralytics

3. Start the Application

Open two separate terminal windows:

Terminal 1 (Back-end): Navigate to the back-end directory and run:

cd server
flask run

Terminal 2 (Front-end):

Navigate to the front-end directory and run the following command:

npm start

4. Access the Application

Visit http://localhost:3000 in your browser.

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Troubleshooting

• If the camera doesn't start, ensure no other applications are using your webcam
• If detection seems off, try adjusting lighting conditions
• For any other issues, please check the open issues or create a new one

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