Paper Title
SILENT VOICE -ASL Recognition
Article Identifiers
: Authors
Keywords
Sign Detections, Real time Recognition,Iamge Identification
Abstract
Modern technology has transformed industries into data-driven, efficient systems, with IoT playing a key role in advancements like smart agriculture. This project, Silent Voice, is a sign language recognition system designed to bridge communication gaps for the hearing and speech-impaired. It leverages machine learning, computer vision, and IoT to translate sign language into text or speech in real-time.The system incorporates MQTT, a lightweight messaging protocol, ensuring efficient data exchange. Using smart sensors and gesture recognition, Silent Voice enhances accessibility and fosters inclusivity across education, workplaces, and public communication platforms.
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How To Cite (APA)
Disha Vartak, Disha Patil, Aryan Chavan, Om Raut, & Bhavika Pardhi (April-2025). SILENT VOICE -ASL Recognition . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), e532-e537. https://ijnrd.org/papers/IJNRD2504467.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : e532-e537
Other Publication Details
Paper Reg. ID: IJNRD_306008
Published Paper Id: IJNRD2504467
Downloads: 000121980
Research Area: Science and Technology
Author Type: Indian Author
Country: Virar/Palghar, Maharashtra , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504467.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504467
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