Artificial intelligence apparatus for performing self diagnosis and method for the same

    公开(公告)号:US11521093B2

    公开(公告)日:2022-12-06

    申请号:US16541740

    申请日:2019-08-15

    Abstract: Disclosed is an artificial intelligence apparatus that includes: a sensing unit that includes a gyroscope sensor and an acceleration sensor; an output unit that outputs information; and a processor that acquires a resultant value output from a deep learning model by inputting data acquired from the gyroscope sensor and the acceleration sensor into the deep learning model, performs self-diagnosis when the resultant value shows a shock requiring self-diagnosis, and controls the output unit to output a result of the self diagnosis, in which the deep learning model is a neural network having an adjusted weight by being trained using whether a shock is a shock requiring the self-diagnosis as a resultant value and sensing values of the gyroscope sensor and the acceleration sensor as input values.

    Artificial intelligence apparatus for performing voice control using voice extraction filter and method for the same

    公开(公告)号:US11468886B2

    公开(公告)日:2022-10-11

    申请号:US16493741

    申请日:2019-03-12

    Inventor: Jaehong Kim

    Abstract: According to an embodiment of the present invention, an artificial intelligence (AI) apparatus for performing voice control, includes a memory configured to store a voice extraction filter for extracting a voice of a registered user, and a processor to receive identification information of a user and a first voice signal of the user, to register the user using the received identification information, to extract a voice of the registered user from the received second voice signal by using the voice extraction filter corresponding to the registered user, when a second voice signal is received, and to proceed a control operation corresponding to intention information of the extracted voice of the registered user. The voice extraction filter is generated by using the received first voice signal of the registered user.

    Washing machine
    4.
    发明授权

    公开(公告)号:US11384464B2

    公开(公告)日:2022-07-12

    申请号:US16600311

    申请日:2019-10-11

    Abstract: Disclosed herein is a washing machine including a first data acquirer configured to collect data related to a laundry pattern of a user, a second data acquirer configured to collect data related to context information, and a processor configured to provide the laundry pattern of the user and the context information to a reinforcement learning model as an environment and to train the reinforcement learning model using feedback of the user on a recommended laundry course when the reinforcement learning model recommends the laundry course.

    Artificial intelligence apparatus for recognizing object and method therefor

    公开(公告)号:US11113532B2

    公开(公告)日:2021-09-07

    申请号:US16493700

    申请日:2019-04-16

    Abstract: Disclosed herein is an artificial intelligence apparatus for recognizing at least one object, comprising: a memory configured to store a plurality of recognition models for generating identification information corresponding to the object from image data; and a processor configured to: obtain image data for the object, generate first identification information corresponding to the object from the image data using a default recognition model composed of at least one or more of the plurality of recognition models, measure a confidence level for the first identification information, obtain the first identification information as a recognition result of the object if the confidence level is equal to or greater than a first reference value, and obtain second identification information corresponding to the object from the image data as a recognition result of the object using a compound recognition model composed of at least one or more of the plurality of recognition models if the measured confidence level is less than the first reference value, wherein the default recognition model is a model defined by first weights for the plurality of recognition models, and wherein the compound recognition model is a model defined by second weights for the plurality of recognition models.

    Artificial intelligence apparatus and method for providing target device manual thereof

    公开(公告)号:US12021719B2

    公开(公告)日:2024-06-25

    申请号:US18048001

    申请日:2022-10-19

    CPC classification number: H04L43/0817

    Abstract: The present disclosure relates to an artificial intelligence apparatus capable of providing a user manual corresponding to an abnormality diagnosis by diagnosing an abnormality of a target device inquired by a user, and a method for providing a target device manual thereof, and may be configured to, when receiving a user inquiry from the user terminal through the communication unit, analyze the user inquiry to set a diagnosis range of a target device, perform a diagnosis corresponding to the user inquiry within the set diagnosis range of the target device, generate a user manual for the performed diagnosis result, and control the communication unit to transmit the generated a user manual to the user terminal.

    Artificial intelligence device and operating method thereof

    公开(公告)号:US11595227B2

    公开(公告)日:2023-02-28

    申请号:US16730652

    申请日:2019-12-30

    Abstract: An artificial intelligence (AI) device may acquire user information, use information of a home appliance and weather information, acquire whether use of the home appliance is recommended and a recommended use time of the home appliance from the user information, the use information of the home appliance and the weather information, using an appliance use recommendation model, and output a recommendation comment indicating information on use of the home appliance based on the recommended use time.

    REFRIGERATOR
    8.
    发明申请

    公开(公告)号:US20220343098A1

    公开(公告)日:2022-10-27

    申请号:US17348532

    申请日:2021-06-15

    Abstract: According to an embodiment of the present disclosure, a refrigerator may include a storage compartment, an outer door, one or more cameras provided in the outer door, a global DB configured to store a plurality of default food identification items and a plurality of default product names respectively corresponding to the plurality of default food identification items, and a local DB configured to store edited product names and a food identification item corresponding to the edited product names, and a processor configured to photograph an internal image of the storage compartment through the one or more cameras, obtain a food identification item from the photographed internal image, determine whether the obtained food identification item is stored in the local DB, and when the food identification item is not stored in the local DB, determine whether the obtained food identification item is stored in the global DB.

    Artificial intelligence apparatus and method for recognizing object

    公开(公告)号:US11210567B2

    公开(公告)日:2021-12-28

    申请号:US16728630

    申请日:2019-12-27

    Abstract: An artificial intelligence apparatus for recognizing an object includes a camera, a memory configured to store a plurality of object recognition models sharing at least one shared layer each other, and a processor configured to receive, via the camera, image data including an object, recognize the object included in the image data by using an object recognition model set including the plurality of object recognition models, and update the object recognition model set based on an object recognition frequency.

    Artificial intelligence apparatus for recognizing user from image data and method for the same

    公开(公告)号:US11126833B2

    公开(公告)日:2021-09-21

    申请号:US16547006

    申请日:2019-08-21

    Abstract: An artificial intelligence apparatus for recognizing a user includes a camera, and a process configured to receive, via the camera, image data including a recognition target object, generate recognition information corresponding to the recognition target object from the received image data, calculate a confidence level of the generated recognition information, determine whether the calculated confidence level is greater than a reference value, if the calculated confidence level is greater than the reference value, perform a control corresponding to the generated recognition information, and if the calculated confidence level is not greater than the reference value, provide a feedback for the object recognition.

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