MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049532 A) filed by Meena Kumari; and Abes Institute Of Technology, Ghaziabad, Uttar Pradesh, on April 18, for 'mudra: ai-based indian sign language recognition and translation system.'
Inventor(s) include Anamika Vashisth; Anant Tayal; and Abhay Singh Chauhan.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The Mudra-ISL system is designed to recognize and translate Indian Sign Language (ISL) gestures using computer vision and deep learning techniques. It captures hand movements through a camera and processes them with a hybrid CNN-LSTM architecture, enabling detection of both static signs and dynamic gesture sequences by combining spatial feature extraction with temporal modeling. This allows the system to interpret continuous signing more accurately than frame-based approaches. The recognized gestures are converted into text and speech outputs in real time, enabling two-way communication between hearing-impaired individuals and non-sign language users without requiring prior knowledge of ISL. The system can function as a standalone assistive tool or be integrated into existing applications and devices, making it adaptable for use in public service environments, classrooms, and time- sensitive communication scenarios. Its performance depends on factors such as lighting conditions, camera quality, and gesture clarity, which can affect recognition accuracy. Despite these constraints, the system offers a practical implementation for improving accessibility by facilitating more direct and efficient communication in ISL- based interactions."
Disclaimer: Curated by HT Syndication.
