https://github.com/2100031988/hand_gesture_using_deeplearning

This project focuses on Hand Gesture Identification using AI and machine learning to recognize various hand gestures in real-time. It leverages computer vision and neural networks for applications in human-computer interaction, AR/VR, and touchless interfaces.
https://github.com/2100031988/hand_gesture_using_deeplearning

computer-vision deep-learning machine-learning opencv tensorflow

Last synced: about 1 year ago
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This project focuses on Hand Gesture Identification using AI and machine learning to recognize various hand gestures in real-time. It leverages computer vision and neural networks for applications in human-computer interaction, AR/VR, and touchless interfaces.

• Host: GitHub
• URL: https://github.com/2100031988/hand_gesture_using_deeplearning
• Owner: 2100031988
• License: mit
• Created: 2024-02-06T10:34:52.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-10-12T07:14:37.000Z (over 1 year ago)
• Last Synced: 2025-05-19T13:15:36.705Z (about 1 year ago)
• Topics: computer-vision, deep-learning, machine-learning, opencv, tensorflow
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hand Gesture Identification

This project is a Python application for real-time hand gesture identification using the MediaPipe Hands library for hand landmark detection and OpenCV for video capture and processing. It can detect hand gestures in a live video stream from a webcam and count the number of fingers extended in each detected hand.

## Introduction

Hand gesture identification has various applications, including sign language recognition, gesture-based control systems, and virtual reality interactions. This project provides a simple yet effective solution for real-time hand gesture identification using computer vision techniques.

## Features

- Detects hand landmarks using MediaPipe Hands library

- Counts the number of fingers extended in each hand gesture

- Displays the finger count on the video feed in real-time

- Supports various hand gestures, including open hand, fist, and different finger configurations

## Installation

To run the project locally, follow these steps:

1. Clone the repository to your local machine:

   ```bash

   git clone https://github.com/2100031988/hand_gesture_identification.git

2. download the needed files

   pip install -r requirements.txt

3. run the final code

   

   python main.py

## Output





## Usage

Once the script is running, it will open a window displaying the live video feed from your webcam. It will detect hand gestures and count the number of fingers extended in each hand.

- Extend your hand in front of the camera to see the detected hand landmarks and finger count.

- Try different hand gestures, such as open hand, fist, and various finger configurations, to observe the detection accuracy.

## About the Author

This project is developed by Sabyasachi Kumar. You can contact me at sabyasachikumar2@gmail.com.

## License

This project is licensed under the MIT License.

## Copyright

© 2024 Sabyasachi Kumar. All rights reserved.