MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053997 A) filed by Mr. Arjun Saxena; Mr. Dewansh Tyagi; Mr. Abhishek Bana; and Ms. Mansi Aggarwal, Ghaziabad, Uttar Pradesh, on April 28, for 'signbridge - ai-based sign language translator with real-time communication.'
Inventor(s) include Mr. Arjun Saxena; Mr. Dewansh Tyagi; Mr. Abhishek Bana; and Ms. Mansi Aggarwal.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The current invention relates to a system and method for real-time conversion of sign language to text and/or speech to aid communication between the hearing impaired and non-sign language users. The system uses computer vision and deep learning techniques to capture, track, and recognize gestures from video feeds. The detected hand gestures are translated into text or speech. In one implementation, the system is implemented as a mobile app incorporating machine learning platforms for gesture recognition, and further includes a video module for real-time, face-to-face communication. It also enables streamlined gesture recognition, sentence generation and output presentation. The system is designed to be highly accurate with minimal delay, thereby facilitating its use in real-world communication. It can be further developed to support various sign languages and flexible learning algorithms for personalized adaptation. Accordingly, the disclosed system provides a scalable and efficient assistive technology that enhances accessibilityand promotes inclusive communication across social and professional environments. Keywords: Sign Language Translation, Computer Vision, Deep Learning, Gesture Recognition, Real-Time Communication, Assistive Technology, accessibility, AI- Based Translation, Inclusive Communication."
Disclaimer: Curated by HT Syndication.
