Sign Vision AI powered sign language Recognition

DOI

https://www.doi.org/10.59256/ijrtmr.20250501002

Published In

Volume 5, Issue 1 (2025)

Published Online

January-February 2025

Pages

12-14

Article Type

Original Article

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Sign language serves as a crucial means of communication for millions of deaf and hard-of-hearing individuals worldwide. However, the lack of widespread proficiency in sign language among the general population creates significant communication barriers, limiting access to essential services, education, employment opportunities, and social interactions. To address this challenge, Sign Vision is designed as an AI powered sign language recognition system that translates sign language gestures into text and speech in real-time, enabling seamless communication between sign language users and non-signers. Sign Vision leverages cutting-edge machine learning techniques, including deep learning and computer vision, to recognize and interpret hand gestures, facial expressions, and movement patterns accurately. By using a combination of convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs) for sequence prediction, the system ensures high accuracy in gesture recognition. The model is trained on diverse sign language datasets to support multiple sign languages, making it adaptable for various linguistic and cultural contexts. One of the core strengths of Sign Vision is its real-time processing capability, which allows for instant translation of sign language without noticeable latency. The system is designed to be integrated into multiple platforms, including mobile applications, web-based interfaces, and smart devices, ensuring accessibility in different environments. Additionally, the system is optimized for deployment on edge devices, reducing dependency on cloud-based computation and ensuring offline functionality. Sign Vision has the potential to revolutionize assistive technology by providing an affordable and scalable solution to bridge the communication gap between the hearing impaired community and the general public. It can be applied in various sectors such as healthcare, customer service, education, and public services, where effective communication is essential. By promoting inclusivity and accessibility, SignVision represents a significant step toward a more connected and barrier-free world for individuals who rely on sign language for communication.