METHOD AND ELECTRONIC DEVICE FOR MANAGING OBJECTS

    公开(公告)号:WO2023080619A1

    公开(公告)日:2023-05-11

    申请号:PCT/KR2022/016988

    申请日:2022-11-02

    Abstract: Methods and apparatuses for managing objects are provided. A method performed by an electronic device includes monitoring, using an ultra-wide band (UWB) sensor of the electronic device, at least one object over a time period; based on the monitoring of the at least one object, extracting a variation in at least one of a material property parameter of the at least one object and a motion parameter of the at least one object; generating a pattern based on the variation in the at least one of the material property parameter and the motion parameter; and identifying, based on the generated pattern, an anomaly of the at least one object.

    SYSTEM FOR IDENTIFYING FOOD TYPES
    3.
    发明申请

    公开(公告)号:WO2023027717A1

    公开(公告)日:2023-03-02

    申请号:PCT/US2021/047872

    申请日:2021-08-27

    Abstract: A method (110) for operating a cooking appliance (10) includes receiving data (16) comprising an image (24) of a food product (F) at least from an image sensor (14), determining whether the data (16) indicates that the food product (F) corresponds with one of a plurality of known food product types stored in a memory (20) accessible by a controller (18) of the cooking appliance (10) based on an analysis of the data (16) using an identification model (31), and in response to the data (16) indicating that the food product (F) does not correspond with any one of the plurality of known food product types, designating the data (16) as corresponding with a new food product type and causing the new food product type to be added to the plurality of known food product types stored in the memory (20) without retraining the identification model (31).

    ERKENNEN VON LAGERGUT IN HAUSHALTS-LAGERUNGSVORRICHTUNGEN

    公开(公告)号:WO2021254740A1

    公开(公告)日:2021-12-23

    申请号:PCT/EP2021/064016

    申请日:2021-05-26

    Inventor: URBAN, Dieter

    Abstract: Ein Verfahren dient zum Erkennen von Lagergut (A) in Haushalts-Lagerungsvorrichtungen (1a-1i), wobei ein Bildsatz ([B1]-[Bi]) eines mittels einer Haushalts-Lagerungsvorrichtung (1a-1i) gelagerten Lagerguts (A) aufgenommen wird und ein Erkennen des Lagerguts (A) durch Auswertung von Bilddaten dieses Bildsatzes ([B1]-[Bi]) mittels eines Standard- Erkennungsalgorithmus (EA) durchgeführt wird, und wobei der Standard-Erkennungsalgorithmus (EA) mittels eines unter einer Standard-Konfiguration (K0) aufgenommenen Standard-Bildsatzes ([B0]) trainiert worden ist, und eine Datencharakteristik (D1-Di) der Bilddaten vor Anwendung des Standard-Erkennungsalgorithmus (EA) mittels eines abhängig von einer Konfiguration (K1-Ki) der Haushalts-Lagerungsvorrichtung (1a-1i) zumindest teilweise trainierten Adaptionsalgorithmus (AL1-AN) auf eine Standard-Datencharakteristik (DO) des Standard-Bildsatz ([B0]) hin angepasst wird. Die Erfindung ist insbesondere vorteilhaft anwendbar auf Haushalts-Lebensmittelbehandlungsgeräte wie Kältegeräte und Gargeräte sowie Dunstabzugshauben.

    PREDICTING SOIL ORGANIC CARBON CONTENT
    7.
    发明申请

    公开(公告)号:WO2022155119A1

    公开(公告)日:2022-07-21

    申请号:PCT/US2022/011938

    申请日:2022-01-11

    Abstract: Implementations are described herein for predicting soil organic carbon ("SOC") content for agricultural fields detected in digital imagery. In various implementations, one or more digital images depicting portion(s) of one or more agricultural fields may be processed. The one or more digital images may have been acquired by a vision sensor carried through the field(s) by a ground-based vehicle. Based on the processing, one or more agricultural inferences indicating agricultural practices or conditions predicted to affect SOC content may be determined. Based on the agricultural inferences, one or more predicted SOC measurements for the field(s) may be determined.

    DETERMINING CEREAL GRAIN CROP YIELD BASED ON CEREAL GRAIN TRAIT VALUE(S)

    公开(公告)号:WO2022081581A1

    公开(公告)日:2022-04-21

    申请号:PCT/US2021/054590

    申请日:2021-10-12

    Abstract: Techniques are disclosed that enable generating a predicted yield for a cereal grain crop based on one or more traits extracted from image(s) of the cereal grain crop. Various implementations include determining a heading trait value based on the number of identified spikelets, where the spikelets are identified by processing the image(s) of the cereal grain crop using a spikelet detection model. Additional or alternative implementations include generating a predicted cereal grain crop yield based on one or more additional or alternative trait values such as one or more heading values, one or more projected leaf area values, one or more stand spacing values, one or more wheat rust values, one or more maturity detection values, one or more intercropping phenotyping values extracted cereal grains intercropped with other crops, one or more additional or alternative trait output values, and/or combinations thereof.

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