Samsung Electronics Co., Ltd.

Jaeil Jung

Minchul Kim

Yongjin Kim

Sungrae Cho

Yongkuk Kim

Junik Jang

Jonghee Hong

Jinhyoung An

Jaekeun Lee

Younggi Kim

Youngwoong Kim

Joonseop Oh

An electronic device according to various embodiments may include a communication circuit and a processor, wherein the processor is configured to receive a streaming image photographed by a first external electronic device through the communication circuit from a first external electronic device, identify a start of a fastening action of a user with respect to a target connector based on the streaming image, periodically obtain sensor data from a second external electronic device worn on the user based on identifying the start of the fastening action, identify an end of the fastening action with respect to the target connector based on the streaming image, and determine whether the target connector is fastened based on the sensor data obtained from the start of the fastening action to the end of the fastening action.

Electronic device and method for checking connection of a connector

According to certain embodiments, an electronic apparatus comprises: a memory storing a generator previously trained to generate a prediction image based on one or more input images; and a processor configured to: acquire feature data from a plurality of image frames input through at least one layer included in the generator, extract feature data corresponding to change over time from the feature data acquired through an attention layer included in the generator, and acquire a prediction image frame by inputting the extracted feature data to at least one other layer included in the generator.

Device for generating prediction image on basis of generator including concentration layer, and control method therefor

A method for analyzing an image for anomaly detection includes obtaining a first image. The method also includes generating a second image by auto-encoding the first image. The method additionally includes extracting first and second feature vectors from the first and second images, respectively. The method further includes filtering each of the first and second feature vectors by using a filtering vector generated based on first distance values between first respective elements of the first and second feature vectors. Additionally, the method includes determining whether there is an anomaly in the first image based on second distance values between second respective elements of the filtered first and second feature vectors.

Method and electronic device for analyzing image

Camera

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Seongnam-si, South Korea

Jaeil Jung