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Real-time Gesture and Face Recognition
Developed high-accuracy systems for real-time hand gesture and face recognition.
Introduction
A suite of high-performance computer vision systems designed for real-time applications.
This project showcases a collection of practical applications built using advanced computer vision and deep learning techniques, including a highly accurate Face Recognition system (88% accuracy).
Features
- Face recognition with 88% accuracy.
- Hand gesture recognition with 95% accuracy.
- Real-time processing from camera feed.
Advantages
- Enables secure biometric experiences.
- Innovative, touch-free human-computer interaction.
Real-Life Usage
Secure access control, interactive kiosks, or assistive technology.
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