MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070145 A) filed by Noida International University on June 04, 2026, for Real-Time Adaptive Computer Vision System With Dynamic Inference Optimization.
Inventors include Lucky Verma; Ritu Sindhu; Satnam Kaur; Varun Madhwani; and Rahul Kumar Singh.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: A real-time adaptive computer vision system and method are disclosed for optimizing image and video processing using machine learning. The system performs multi- stage inference by initially processing input data with a low-complexity model and evaluating prediction confidence. Based on the confidence level and contextual information, the system dynamically adjusts inference parameters, including model selection, resolution, and processing pathways, and selectively triggers higher- complexity models or region-specific analysis. A closed-loop feedback mechanism continuously refines computational allocation to balance accuracy and efficiency. The invention enables reduced latency, lower energy consumption, and improved performance in real-time applications, particularly in resource-constrained environments such as edge devices, autonomous systems, and embedded platforms.
Disclaimer: Curated by HT Syndication.
