MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631031263 A) filed by Narula Institute Of Technology, Kolkata, West Bengal, on March 16, for 'real-time camera-based hand gesture recognition system for sign language interpretation using a learning-based classification model.'
Inventor(s) include Swarnali Daw; Dr. Papri Ghosh; Dr. Soma Chatterjee; Priti Sarkar; Aditi Shaw; Biswadip Roy; and Trisha Banerjee.
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 present invention provides a real-time, camera-based hand gesture recognition system for sign language interpretation, specifically adapted for Indian Sign Language (ISL). The system employs an image acquisition module to capture hand gestures and a landmark detection module to identify key anatomical points, such as joints and fingertips, from the video frames. These points are converted into structured feature vectors and processed by a learning-based classification module to recognize corresponding sign language gestures. The recognized gestures are translated into textual or audible outputs and presented via an integrated interface. Operating in real time with minimal latency, the system facilitates interactive communication without the need for wearable sensors or specialized hardware, offering a portable and scalable solution for individuals with hearing or speech impairments."
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