MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078916 A) filed by Ms. Kochumol Abraham; Mr. Thiruvenkata Babuji Baskaran; Dr. Pernaidu Pasala; Prashant Mavi; Dr. Sugin Lal G; Dr. Y. M. Mahaboobjohn; Dr. R. Balakrishna; Preeti E S; Prof. Dr. Harikumar Pallathadka; and Mr. Sakthivel B on June 26, 2026, for Deep Learning Assisted Intelligent Image Processing System For Automated Detection Of Complex Visual Patterns.
Inventors include Ms. Kochumol Abraham; Mr. Thiruvenkata Babuji Baskaran; Dr. Pernaidu Pasala; Prashant Mavi; Dr. Sugin Lal G; Dr. Y. M. Mahaboobjohn; Dr. R. Balakrishna; Preeti E S; Prof. Dr. Harikumar Pallathadka; and Mr. Sakthivel B.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a deep learning assisted intelligent image processing system configured for automated detection, recognition, classification, and analysis of complex visual patterns from image data. The system comprises an image acquisition module, preprocessing module, feature extraction module, deep learning processing engine, pattern recognition module, adaptive learning module, and output generation module. The deep learning processing engine utilizes advanced neural network architectures to automatically learn and analyze hierarchical visual features for identifying complex patterns with improved accuracy. The adaptive learning module enables continuous optimization of detection performance based on feedback information, historical results, and changing environmental conditions. The invention provides an intelligent framework for real-time or near-real-time visual analysis and is applicable in industrial inspection, healthcare imaging, surveillance, autonomous systems, and intelligent automation applications.
Disclaimer: Curated by HT Syndication.
