Intellectual Property India Publishes Patent Application for Efficient Time-Distributed Cnn–lstm Model For Driver Drowsiness Detection Using Low-Resolution Eye Image Sequences

MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202631123730 A) filed by C. V. Raman Global University on October 15, 2026, for Efficient Time-Distributed Cnn–lstm Model For Driver Drowsiness Detection Using Low-Resolution Eye Image Sequences.

Inventors include Arpita Gouda; Dusari Sandeep; and Dr. Pushpendra Kumar Gupta.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: A method and system for detecting driver drowsiness using low-resolution eye image sequences. Driver eye images are converted to grayscale, resized to 32 × 32 pixels and normalised, and are organised into short temporal sequences using a sliding window. Each sequence is processed...