ELECTRONIC APPARATUS FOR OBJECT RECOGNITION AND CONTROL METHOD THEREOF

    公开(公告)号:US20220027600A1

    公开(公告)日:2022-01-27

    申请号:US17493930

    申请日:2021-10-05

    Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

    Electronic device and method for controlling same

    公开(公告)号:US11966317B2

    公开(公告)日:2024-04-23

    申请号:US16768452

    申请日:2018-12-26

    CPC classification number: G06F11/3438 G06N3/08

    Abstract: An electronic device and a method for controlling the same are disclosed. The method for controlling an electronic device according to the present disclosure comprises the steps of: detecting at least one user and acquiring user information of the detected at least one user; determining a user mode on the basis of the acquired user information; determining a service to be provided to the detected at least one user, by inputting the user information and the determined user mode as input data to a model learned by an artificial intelligence algorithm; and providing the determined service corresponding to the user mode. A method for providing the service by the electronic device may at least partially use an artificial intelligence model learned according to at least one of machine learning, neural network, and deep learning algorithms.

    Video playback device and control method thereof

    公开(公告)号:US12219208B2

    公开(公告)日:2025-02-04

    申请号:US18470173

    申请日:2023-09-19

    Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.

    Video playback device and control method thereof

    公开(公告)号:US11831948B2

    公开(公告)日:2023-11-28

    申请号:US17881135

    申请日:2022-08-04

    Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.

    Electronic device and method of obtaining emotion information

    公开(公告)号:US11544524B2

    公开(公告)日:2023-01-03

    申请号:US16460617

    申请日:2019-07-02

    Abstract: Emotion information is obtained by an electronic device in order to improve communication between a person and the electronic device. Multimedia data is obtained regarding a person, predicted values for the person are obtained by applying the multimedia data to neural network models, and emotion information of the person is obtained by applying the predicted values to a weight model. Then, feedback information is obtained from the person with respect to the first emotion information of the person. Finally, the weight model is updated by using the feedback information. Subsequently, when multimedia data are again obtained regarding the person, new predicted values for the person are obtained by applying later multimedia data the plurality of neural network models, and emotion information of the person is again obtained, but this time using the weight model updated using the feedback information.

    ELECTRONIC APPARATUS FOR OBJECT RECOGNITION AND CONTROL METHOD THEREOF

    公开(公告)号:US20200380242A1

    公开(公告)日:2020-12-03

    申请号:US16890337

    申请日:2020-06-02

    Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

    ELECTRONIC DEVICE FOR AUGMENTING TRAINING DATA, AND CONTROL METHOD THEREFOR

    公开(公告)号:US20250061600A1

    公开(公告)日:2025-02-20

    申请号:US18934906

    申请日:2024-11-01

    Abstract: An electronic device includes: one or more processors; and memory, storing: a first training data set including pieces of 2D pose data and pieces of 3D pose data; and instructions that, when executed by the one or more processors, cause the electronic device to: train a neural network model to estimate 3D poses based on the first training data set; obtain an augmented data set by augmenting the first training data set; based on at least one of similarity or reliability of 3D pose augmented data in the augmented data set; select at least one piece of 3D pose augmented data among pieces of 3D pose augmented data in the augmented data set; obtain a second training data set including the 3D pose augmented data and 2D pose augmented data corresponding to the 3D pose augmented data; and retrain the neural network model based on the second training data set.

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