MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621050433 A) filed by Ashish Anil Pagare; Sagar Gore; Udita Chandel; Mansi Kawade; Dipali Khairnar; Vishal Patil; and Moresh Mukhedkar on April 21, 2026, for Indian Sign Language Recognition System Using Mediapipe And Artificial Neural Networks.
Inventors include Ashish Anil Pagare; Sagar Gore; Udita Chandel; Mansi Kawade; Dipali Khairnar; Vishal Patil; and Moresh Mukhedkar.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to a system for real-time bidirectional translation of Indian Sign Language (ISL) using computer vision and machine learning techniques. The system captures hand gestures through a camera and utilizes MediaPipe for hand landmark detection. Extracted spatial and temporal features are processed using an artificial neural network to classify gestures into corresponding textual output, which can further be converted into speech. The system operates in real-time without requiring specialized hardware and is designed to facilitate seamless communication between hearing-impaired individuals and non-sign language users.
Disclaimer: Curated by HT Syndication.
