MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076756 A) filed by Sns College Of Technology on June 21, 2026, for Ai-Based Cctv Video Analysis Using Yolo.
Inventors include Dr. Husna Khouser G; Poorna Devi M; Kanthimathinathan P; Ajuvaitha K; Dr. M. Siva Ramkumar; and Mrs. B. Sajitha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an integrated Quantum Machine Learning Simulation Platform designed to facilitate realistic YOLO- based circuit development, hybrid YOLO-based-classical training, and seamless hardware validation within a unified environment. The platform incorporates a noise-aware YOLO-based simulator supporting configurable noise models, state-vector and scalable simulation techniques, enabling accurate approximation of real YOLO-based device behavior. It further integrates hybrid learning frameworks to implement object detection models with automatic differentiation and classical optimization methods. The system provides an intuitive development interface for circuit design, visualization, and experiment management, along with automated model optimization and deployment to multiple YOLO-based hardware providers. A parity comparison mechanism evaluates differences between simulated and hardware results, ensuring reliability and performance assessment. Additionally, the platform includes cost estimation, queue management, and reproducibility features through structured experiment tracking. By bridging the gap between simulation and real-device execution, the invention enhances accessibility, scalability, and research efficiency in computer vision and deep learning applications
Disclaimer: Curated by HT Syndication.
