Intellectual Property India Publishes Patent Application for Calorie Detection System For Disaster Kitchens With Steam Cal Adaptive Offline Estimation Mode

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621052341 A) filed by Dkte Society'S Textile And Engineering Institute; Mrs Veena A Mali; Ms. Nilophar Mullani; Adityaraj Netaji Gaikwad; Shreyas Sambhaji Gadekar; Shreyash Pritam Alase; and Shivam Sanjay Dafale on April 24, 2026, for Calorie Detection System For Disaster Kitchens With Steam Cal Adaptive Offline Estimation Mode.

Inventors include Mrs Veena A Mali; Ms. Nilophar Mullani; Adityaraj Netaji Gaikwad; Shreyas Sambhaji Gadekar; Shreyash Pritam Alase; and Shivam Sanjay Dafale.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: ABSTRACT: Calorie Detection System for Disaster Kitchens with SteamCal Adaptive Offline Estimation Mode This invention describes a calorie detection system specifically configured for disaster-relief and mass-feeding environments, operable under adverse conditions including optical fog, steam, elevated ambient noise, and absence of network connectivity. The system employs a compound-triggered operational state, denominated SteamCal Mode, which activates only upon simultaneous detection of said adverse conditions. Once engaged, the system executes thermo-optic steam inference for temperature-based caloric density refinement, ladle-fiducial volumetric analysis for scoop-specific portion measurement, acoustic viscosity estimation for nutrient distribution assessment, and oil-film glint analysis for lipid quantification. The outputs from these analytical modules are synthesized by an inference engine to provide per-scoop calorie values, allergen flags, and dietary advisories, including subgroup-specific recommendations for diabetic and pediatric populations. The system further incorporates a role-aware user interface adapted for high-noise and glove-worn operation, along with offline caching and delayed synchronization, thereby enabling accurate, resilient nutritional assessment where conventional calorie detection systems fail.

Disclaimer: Curated by HT Syndication.