AI Object Detection Camera By [ Hashaam Zahid ]

This project features a real-time object detection camera powered by Google TensorFlow AI JavaScript library along with custom JavaScript functions and libraries. It includes responsive design using Bootstrap, Node.js for backend support, and the ability to create lists in real-time based on detected objects. The camera also supports FPS settings and provides spoken feedback when detecting objects.

Features

• Real-time object detection using Google TensorFlow AI JavaScript library.
• Custom JavaScript libraries to enhance object detection functionalities.
• Responsive interface design utilizing Bootstrap framework.
• Backend support powered by Node.js.
• Creation of lists based on real-time object detection.
• Camera settings for adjusting FPS (Frames Per Second).
• Spoken feedback for detected objects.

Setup Instructions

localhost xampp, Mampp, or any server

Prerequisites

• Node.js installed on your system.

Installation Steps

1. Clone this repository:

   git clone https://github.com/hashaam-zahid/ai-object-detection-camera.git

2. Navigate to the project directory:

   cd ai-object-detection-camera

3. Install dependencies:

   npm install

4. Start the application:

   npm start

5. Open your web browser and access the application at http://localhost:3000.

Usage

1. Launch the application.
2. Allow camera access when prompted.
3. Adjust camera settings if needed.
4. Objects detected in real-time will be displayed on the interface.
5. Lists will be created based on detected objects.
6. Spoken feedback will provide information about the detected objects.

Contributing

Contributions are welcome! If you have any suggestions, feature ideas, or want to report issues, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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