SIGNVISION – A SMART BIDIRECTIONAL SIGN LANGUAGE TRANSLATOR
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SIGN LANGUAGE TRANSLATOR FOR DEAF AND DUMB
Vasundhara Nandhitha M 1
1 MCA, Department of Computer Applications,
Dr. M.G.R. Educational and Research Institute University, Chennai, India
E-mail: vasundhramukesh@gmail.com
Abstract
Sign Vision is all-in-one solution for transparent communication by providing instant one-way translation of sign and spoken language. It uses state of the art computer vision, deep learning, and speech processing technologies to understand gestures and convert them into text and speech. It is a versatile tool for communication, useful in public spaces, schools and healthcare settings. Sign Vision consists of multiple integrated modules that handle gesture recognition and text generation. Using computer vision technologies such as OpenCV and Media Pipe, it captures and preprocesses hand gestures through a webcam, while deep learning models trained with attribute based classification enable accurate and fine grained sign recognition.
Keywords: Sign Language, Translation, Assistive Technology, Gesture Recognition, Sign-to-Speech.
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