MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641020741 A) filed by G. Ashwin; Akash E; Arunapriyadharshini; and S. Jayalakshmi, Chennai, Tamil Nadu, on Feb. 23, for 'a sensor-less heuristic digital twin system for probabilistic behavioral modeling and autonomous waste mitigation in food service environments.'
Inventor(s) include G. Ashwin; Akash E; Arunapriyadharshini; and S. Jayalakshmi.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides a hardware-independent, cloud-native system for autonomous food waste mitigation that eliminates the requirement for physical loT hardware. The system comprises a Virtual Perception Module that utilizes soft-sensing to extract latent behavioral signals from user interaction metadata, such as menu dwell time and clickstream latency, to calculate a Satiety Probability Index. This index is processed by a Digital Twin Core that executes high- concurrency Monte Carlo simulations to generate probabilistic models of potential food surplus in a virtual replica of the canteen, A Transformer-based NLP Engine refines the predictive accuracy by perfonning Sentiment Vectorization on qualitative user feedback in a closed-loop heuristic mechanism. The system outputs real-time production throttling and batch-size reduction suggestions to a kitchen dashboard, transitioning waste management from a reactive, sensor-based process to a predictive, simulation-driven framework."
Disclaimer: Curated by HT Syndication.
