Bridging Silence: Engineering a Real-Time ASL Translator Using Machine Vision is a mobile-based system that uses computer vision and AI to translate ASL gestures into text or speech. Designed for the Malaysian context, it bridges communication gaps, supports social inclusion, and offers an accessible alternative to traditional interpreter services.

Invention Technical Description

Bridging Silence is a mobile-based application that translates American Sign Language (ASL) gestures into text and speech using computer vision and artificial intelligence. The system integrates real-time hand gesture recognition using a trained convolutional neural network (CNN) and OpenCV for image processing. It detects and classifies ASL signs from live camera input, instantly converting them into readable or spoken output. Designed with a user-friendly interface, the app also includes basic voice-to-text functionality, enabling two-way communication. This innovation addresses the communication gap between the hearing-impaired and non-signers, offering a practical, accessible, and inclusive solution for daily interactions.

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