Patent Application for an Invention Entitled: AuraScan

Abstract A system and method for the real-time, in-situ analysis of foodstuffs are disclosed. The present invention, embodied in a mobile application ("AuraScan"), leverages integrated sensors of a mobile device, such as a high-resolution camera and potentially a multi-spectral sensor, to capture multi-modal data from a food item. The captured data, comprising visual, structural, and spectroscopic information, is securely transmitted to a remote server for analysis by a novel "FEED Analysis Engine." This engine executes a dual-component analysis: (1) a spectroscopic analysis to determine the biochemical and molecular composition, and (2) a proprietary geometrodynamic analysis that computes a structural-energetic profile based on the foodstuff's three-dimensional form, texture, and light-interaction patterns. The synthesized results, providing a holistic nutritional and energetic assessment, are then transmitted back to the user's mobile device and presented in an intuitive interface. This invention provides a significant advancement over conventional nutrition analysis by offering a portable, non-destructive, and deeply informative assessment that bridges the gap between chemical composition and the intrinsic structural-energetic properties of food.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17182815
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Patent Application for an Invention Entitled: AuraScan

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Patent Application for an Invention Entitled: AuraScan

article en

Abstract

Abstract A system and method for the real-time, in-situ analysis of foodstuffs are disclosed. The present invention, embodied in a mobile application ("AuraScan"), leverages integrated sensors of a mobile device, such as a high-resolution camera and potentially a multi-spectral sensor, to capture multi-modal data from a food item. The captured data, comprising visual, structural, and spectroscopic information, is securely transmitted to a remote server for analysis by a novel "FEED Analysis Engine." This engine executes a dual-component analysis: (1) a spectroscopic analysis to determine the biochemical and molecular composition, and (2) a proprietary geometrodynamic analysis that computes a structural-energetic profile based on the foodstuff's three-dimensional form, texture, and light-interaction patterns. The synthesized results, providing a holistic nutritional and energetic assessment, are then transmitted back to the user's mobile device and presented in an intuitive interface. This invention provides a significant advancement over conventional nutrition analysis by offering a portable, non-destructive, and deeply informative assessment that bridges the gap between chemical composition and the intrinsic structural-energetic properties of food.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Zero hunger
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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