MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064384 A) filed by Aditya University, Surampalem, Andhra Pradesh, on May 21, for 'deep learning assisted intelligent image processing system for automated detection of complex visual patterns.'
Inventor(s) include Dr. Chintureena Thingom; and Dr. Thangjam Ravichandra.
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: "A deep learning assisted intelligent image processing system for automated detection of complex visual patterns is disclosed. The system comprises an image acquisition interface, adaptive preprocessing engine, neural feature extraction architecture, contextual pattern recognition module, deep learning inference engine, decision optimization module, and adaptive feedback learning subsystem. The preprocessing engine performs image enhancement, denoising, normalization, and geometric correction to improve image quality prior to analysis. The feature extraction architecture utilizes convolutional neural networks, transformer-based models, and multi-scale semantic mapping techniques for identifying complex visual structures and anomalies. The inference engine performs automated image classification, segmentation, object localization, motion tracking, and predictive analysis with confidence-based validation. The adaptive feedback subsystem continuously retrains neural layers using operational data to improve analytical accuracy and computational efficiency. The invention supports deployment across healthcare imaging, industrial inspection, surveillance systems, autonomous platforms, agricultural monitoring, and scientific visualization environments."
Disclaimer: Curated by HT Syndication.
