Ultraviolet light and machine learning-based assessment of food item quality
US11847681B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 6, 2023 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Apr 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30128
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed technology provides for determining infection in food items using image data of the food items under ultra-violet (UV) light. A method includes performing object detection on the image data to identify a bounding box around each of the food items in the image data, determining, for each food item, an infection presence metric by applying a model to the bounding box, the model being trained using image training data of other food items under UV light, the image training data being annotated based on previous identifications of a first portion of the other food items having infection features and a second portion having healthy quality features, and determining, based on a determination that the infection presence metric for each of the food items indicates presence of an infection, an infection coverage metric for the food item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.