MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541123543 A) filed by Varunkumar B; Yogeshwar K; Suman Karthick A; Surendar M; and Thiruselvam R, Coimbatore, Tamil Nadu, on Dec. 8, 2025, for 'language of signs -an automated language of signs recognition and translation system.'

Inventor(s) include Varunkumar B; Yogeshwar K; Suman Karthick A; Surendar M; and Thiruselvam R.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "The Sign Language Converter is an intelligent real-time communication. system designed to translate hand gestures and sign language motions into readable text or audible speech using computer vision and machine learning techniques. The system captures live video input through an integrated camera module, processes the visual data using a convolutional neural network (CNN)-based gesture recognition model, and convert recognized sign ino conesponding linguistic outputs. The invention addresses C0/11mUnication gaps between hearing-impaired individuals and. non-sign- language users by providing an automated, accurate, and user-friendly translation interface. The system supports dynamic and static sign detection, gesture tracking, noise tlltering, and contextual prediction for improved translation accuracy. A user interface displays detected signs, confidence levels, and final translated output in real time. The technology significantly reduces reliance on human interpreters, enhances accessibility in public and private communication settings, and enables seamless interaction acrqss educational, medical, corporate, and social environments. This invention provides an efficient, scalable, and inclusive solution for bridging communication barriers through automated sign-to-text conversion. Furthermore, the invention is designed to operate on mobile devices, desktop applications, and cloud platforms, allowing flexible deployment across educational, professional, public, and personal environments. By combining scalability, accuracy, and usability, this invention offers an assistive communication solution capable of bridging the gap between sign language users and non-sign-language speakers."

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