Welcome to the AI Hand Gesture Recognition program! This Python program utilizes artificial intelligence to detect and recognize hand gestures through the webcam.
The AI Hand Gesture Recognition program is designed to analyze live video input from your webcam and identify various hand gestures. It uses computer vision and deep learning techniques to process the images and classify the hand motions into specific gestures, such as open palm, fist, thumbs up, and more.
The repository contains the following files:
- hand_motion_recognizer.py - Python script for implementing the hand gesture recognition program.
- requirements.txt - A list of required Python packages to run the program.
To get started with the AI Hand Gesture Recognition program, follow these steps:
- Clone the repository locally using
git clone [repository_url]. - Install the required Python packages by running
pip install -r requirements.txt. - Ensure you have a webcam connected to your system.
- Run the
hand_motion_recognizer.pyscript to start the hand gesture recognition. - Perform hand gestures in front of the webcam to see real-time recognition in action.
The AI Hand Gesture Recognition program uses deep learning models and computer vision techniques to identify and classify hand gestures captured through the webcam. For optimal performance, make sure the webcam has good lighting conditions, and your hand movements are distinct and clear.
This project is licensed under the MIT License, which allows you to freely use, modify, and distribute the codebase under the terms specified in the license.
Feel free to explore the repository and try out the AI Hand Gesture Recognition program!
Please note: The accuracy of hand gesture recognition depends on the training data and the model used. For improved results, consider fine-tuning the model on a larger and diverse dataset specific to your application.