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Title:
NEURAL NETWORK-BASED SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR IDENTIFYING AND/OR EVALUATING ONE OR MORE FOOD ITEMS PRESENT IN A VISUAL INPUT
Document Type and Number:
WIPO Patent Application WO/2020/050973
Kind Code:
A3
Abstract:
In some embodiments, the present invention provides for an exemplary inventive convolutional neural network-based and computer-implemented method for identifying and evaluating pizza, including: collecting video input representative of the food and received from at least one camera, applying a first CNN to select, from the video input, a set of best pizza containing video frames of a particular pizza from the plurality of pizza containing video frames; applying the first CNN to identify a best pizza containing image from the set, to localize at least one pizza portion of the particular pizza in the identified best pizza containing image, and to determine a type of the pizza of the particular pizza from the identified best pizza containing image; applying a second CNN to determine a map of pizza components of the particular pizza by automatically performing pizza image segmentation and to automatically score the particular pizza based on the determined map of pizza components.

Inventors:
SHANGIN LEONID (RU)
IVANOV ILYA (RU)
WYNNE WILLIAM (US)
Application Number:
PCT/US2019/047171
Publication Date:
June 25, 2020
Filing Date:
August 20, 2019
Export Citation:
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Assignee:
FLORENT TECH LLC (US)
International Classes:
G06Q10/06; G06N3/04; G06Q50/12
Other References:
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Attorney, Agent or Firm:
BERSH, Lennie, A. (US)
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