MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411012836 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 22, 2024, for 'advanced image recognition using deep learning.'
Inventor(s) include Prof. Ajith Abraham; and Prof. Sanjeev Ratna Singh.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The present invention introduces an advanced image recognition system powered by deep learning algorithms. The system integrates a digital image input interface, a specialized deep learning neural network model tailored for image recognition, dedicated processing hardware, and an output interface for relaying recognition results. The neural network model, optimally a convolutional neural network (CNN), is adept at discerning intricate visual patterns. Additional features include preprocessing components for image optimization, parallel processing capabilities for rapid analysis, a feedback loop for model refinement based on real-world results, and cloud integration for enhanced scalability. The system is designed to provide high-accuracy recognition results across diverse image types and scenarios, bolstered by extensive training on large datasets and potential integration with pre-trained model structures. This invention promises enhanced performance in image recognition tasks, ensuring accuracy, scalability, and adaptability."
Disclaimer: Curated by HT Syndication.
