公开(公告)号：US20230153419A1

公开(公告)日：2023-05-18

申请号：US18093111

申请日：2023-01-04

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jongin LEE ,  Sunwoong JOO ,  Jeongsik CHEON

IPC: G06F21/53 ,  G06F21/62 ,  G06F21/60

CPC classification number: G06F21/53 ,  G06F21/6245 ,  G06F21/602

Abstract: A display apparatus with increased security performance, for using the resources of a restricted secure world (SW), and/or an operation method thereof. The display apparatus may include a display, and a controller including at least one processor configured to perform one or more instructions to separately run a normal operating system (OS) and a secure OS, which are respectively executed in a normal world (NWD) and an SWD corresponding to a TrustZone.

公开(公告)号：US20240121501A1

公开(公告)日：2024-04-11

申请号：US18527534

申请日：2023-12-04

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sunwoong JOO ,  Jongin LEE

IPC: H04N23/611 ,  G06F3/16 ,  H04N7/14 ,  H04N23/63 ,  H04N23/695

CPC classification number: H04N23/611 ,  G06F3/165 ,  H04N7/14 ,  H04N23/631 ,  H04N23/695

Abstract: An electronic apparatus including: an interface; a display; and a processor configured to: acquire an image captured by a camera while the camera is connected through the interface, obtain information about a position where the camera is placed with respect to the display among a plurality of positions where the camera is placeable with respect to the display, select a motion identification model corresponding to the position where the camera is placed with respect to the display among a plurality of motion identification models prepared based on data corresponding to the plurality of positions, identify a motion of a user from the image captured by the camera based on the selected motion identification model, and perform a function based on the identified motion of the user.

公开(公告)号：US20220237460A1

公开(公告)日：2022-07-28

申请号：US17719660

申请日：2022-04-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sunwoong JOO ,  Benjamin Rufus DUCKWORTH ,  Martyn Gregory BLISS ,  Simyung CHANG ,  Cheulhee HAHM

IPC: G06N3/08 ,  G06N3/04

Abstract: An electronic device according to an embodiment includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory. The processor is configured to: receive information about a limitation, wherein the information about the limitation includes information about a target device for realizing a neural network; generate a plurality of candidate neural networks based on the information about the limitation; generate a plurality of codes for realizing the plurality of candidate neural networks in the target device, based on the information about the limitation and a pre-determined cost function; obtain performance index information corresponding to each of the plurality of codes; and provide the plurality of candidate neural networks and the plurality of codes corresponding to the plurality of candidate neural networks, respectively, based on the performance index information.

公开(公告)号：US20220121916A1

公开(公告)日：2022-04-21

申请号：US17507411

申请日：2021-10-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sunwoong JOO ,  Jongin LEE

IPC: G06N3/063 ,  G06N3/04 ,  G06F11/34

Abstract: An electronic device for performing inference by using a neural network, including a memory configured to store one or more instructions and information about the neural network, wherein the neural network may include a common block and a selectable block set; and a processor including a plurality of accelerators, and configured to execute the one or more instructions to: obtain inference time information about the neural network for each of the plurality of accelerators, based on the information about the neural network; determine an accelerator for performing the inference according to the neural network from among the plurality of accelerators, based on the inference time information about the neural network; select a candidate block corresponding to the accelerator from among a plurality of candidate blocks included in the selectable block set; and perform the inference according to the neural network using the common block and the candidate block.