ESTIMATING PROPERTIES OF PHYSICAL OBJECTS, BY PROCESSING IMAGE DATA WITH NEURAL NETWORKS

The present disclosure relates to image processing or computer vision techniques. A computer-implemented method is provided for determining a damage status of a physical object, the method comprising the steps of receiving a surface image of the physical object; and providing a pre-trained machine l...

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Main Authors SIAL, Kamran, MARTIN PALMA, Andres, ROMERO RODRIGUEZ, Javier, FISCHER, Sebastian, EGGERS, Till, KEUPER, Margret, SCHARNER, Mike, TANEJA, Rahul, NAVARRA-MESTRE, Ramon, POLO LOPEZ, Francisco Manuel
Format Patent
LanguageEnglish
Published 21.03.2024
Subjects
AGRICULTURE
ANIMAL HUSBANDRY
CALCULATING
COMPUTING
COUNTING
CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED
FISHING
FORESTRY
HORTICULTURE
HUMAN NECESSITIES
HUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
TRAPPING
WATERING
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Summary:The present disclosure relates to image processing or computer vision techniques. A computer-implemented method is provided for determining a damage status of a physical object, the method comprising the steps of receiving a surface image of the physical object; and providing a pre-trained machine learning model to derive property values from the received surface map, wherein each property value is indicative of a damage index at a respective location, wherein the property values are preferably usable for monitoring and/or controlling a production process of the physical object. In this way, it is possible to reliably identify local defects and ensure that it is accurate enough to apply the chemical products in suitable amounts.
Bibliography:Application Number: US202218284484