MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133419 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on Dec. 30, 2025, for 'an intelligent surveillance image detection framework using quantum-enhanced deep learning.'
Inventor(s) include Dr. N. Hanumantharao.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention reveals a bright surveillance image recognition context that take part in quantum-enhanced deep learning methods to advance finding accuracy and forcefulness in surveillance requests. The outline obtains image or video data from surveillance sources and obtains hierarchical graphic features using deep learning representations. Quantum-inspired feature encoding procedures, including probabilistic illustration and entropy-based model, are functional to improve feature insight and handle ambiguity in multipart visual surroundings. The quantum-enhanced features are examined to distinguish objects, happenings, and irregular events with better dependability. The planned framework functions on classical figuring stages without requiring physical quantum hardware and supports real-time as well as offline observation dispensation. The development is appropriate to security intensive care, traffic surveillance, and smart city surroundings."
Disclaimer: Curated by HT Syndication.
