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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| creator | 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 |
| description | 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. |
| format | Patent |
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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. 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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.</description><subject>AGRICULTURE</subject><subject>ANIMAL HUSBANDRY</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</subject><subject>FISHING</subject><subject>FORESTRY</subject><subject>HORTICULTURE</subject><subject>HUMAN NECESSITIES</subject><subject>HUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>TRAPPING</subject><subject>WATERING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIhwDQ7x9HUM8fRzVwgI8g9wDQrxdA1W8HdTCPCIDPZ0dvRR8HfycnUOCdZRcIoEKXF2DQ4GqQbqcndVcHEMcVQI9wzxUPBzDQ0CqvZzDQn3D_IO5mFgTUvMKU7lhdLcDMpuriHOHrqpBfnxqcUFicmpeakl8aHBRgZGJgaWppaGho6GxsSpAgDPYjJU</recordid><startdate>20240321</startdate><enddate>20240321</enddate><creator>SIAL, Kamran</creator><creator>MARTIN PALMA, Andres</creator><creator>ROMERO RODRIGUEZ, Javier</creator><creator>FISCHER, Sebastian</creator><creator>EGGERS, Till</creator><creator>KEUPER, Margret</creator><creator>SCHARNER, Mike</creator><creator>TANEJA, Rahul</creator><creator>NAVARRA-MESTRE, Ramon</creator><creator>POLO LOPEZ, Francisco Manuel</creator><scope>EVB</scope></search><sort><creationdate>20240321</creationdate><title>ESTIMATING PROPERTIES OF PHYSICAL OBJECTS, BY PROCESSING IMAGE DATA WITH NEURAL NETWORKS</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024095911A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>AGRICULTURE</topic><topic>ANIMAL HUSBANDRY</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPSOR SEAWEED</topic><topic>FISHING</topic><topic>FORESTRY</topic><topic>HORTICULTURE</topic><topic>HUMAN NECESSITIES</topic><topic>HUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>TRAPPING</topic><topic>WATERING</topic><toplevel>online_resources</toplevel><creatorcontrib>SIAL, Kamran</creatorcontrib><creatorcontrib>MARTIN PALMA, Andres</creatorcontrib><creatorcontrib>ROMERO RODRIGUEZ, Javier</creatorcontrib><creatorcontrib>FISCHER, Sebastian</creatorcontrib><creatorcontrib>EGGERS, Till</creatorcontrib><creatorcontrib>KEUPER, Margret</creatorcontrib><creatorcontrib>SCHARNER, Mike</creatorcontrib><creatorcontrib>TANEJA, Rahul</creatorcontrib><creatorcontrib>NAVARRA-MESTRE, Ramon</creatorcontrib><creatorcontrib>POLO LOPEZ, Francisco Manuel</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SIAL, Kamran</au><au>MARTIN PALMA, Andres</au><au>ROMERO RODRIGUEZ, Javier</au><au>FISCHER, Sebastian</au><au>EGGERS, Till</au><au>KEUPER, Margret</au><au>SCHARNER, Mike</au><au>TANEJA, Rahul</au><au>NAVARRA-MESTRE, Ramon</au><au>POLO LOPEZ, Francisco Manuel</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ESTIMATING PROPERTIES OF PHYSICAL OBJECTS, BY PROCESSING IMAGE DATA WITH NEURAL NETWORKS</title><date>2024-03-21</date><risdate>2024</risdate><abstract>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.</abstract><oa>free_for_read</oa></addata></record> |
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| 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 |
| title | ESTIMATING PROPERTIES OF PHYSICAL OBJECTS, BY PROCESSING IMAGE DATA WITH NEURAL NETWORKS |
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