MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064393 A) filed by Aditya University, Surampalem, Andhra Pradesh, on May 21, for 'neural network powered intelligent control mechanism for enhancing performance of smart industrial automation systems.'
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 neural network powered intelligent control mechanism for enhancing performance of smart industrial automation systems is disclosed. The system comprises an industrial data acquisition layer configured to collect operational data from industrial machines, robotic systems, programmable controllers, and industrial Internet of Things devices. An edge processing and preprocessing module transforms the collected data into structured feature vectors for neural network analysis. A neural network analytics engine utilizing recurrent neural networks, convolutional neural networks, transformer-based models, and reinforcement learning algorithms identifies operational anomalies, equipment degradation, predictive maintenance indicators, and process optimization opportunities. An intelligent control module autonomously generates optimized control instructions for industrial equipment and automation infrastructure. The system further incorporates feedback optimization, predictive maintenance, and cybersecurity mechanisms to improve operational reliability, reduce downtime, optimize energy utilization, enhance industrial productivity, and enable adaptive autonomous control across smart industrial manufacturing environments."
Disclaimer: Curated by HT Syndication.
