Development of a Sign Language Recognition and Translation System
Computer Science — 2025, Undergraduate
accessibilitytranslationsign languagerecognition
This study developed a Sign Language Recognition and Translation System to bridge the communication gap between deaf signers and hearing individuals. Direct translation by interpreters is expensive and not always available. The system captures hand gestures through a camera, recognises sign patterns, and translates them into text and speech. Built with Python Django and SQLite using gesture recognition models, the system was tested with a set of common signs. Results showed promising recognition accuracy for the trained vocabulary. The study recommends extension of the vocabulary and integration into assistive communication devices.
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