公开(公告)号：US20240168504A1

公开(公告)日：2024-05-23

申请号：US17984454

申请日：2022-11-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Musa Maharramov ,  Brian Patton ,  Pedro Martinez Lopez ,  Nigel Clarke

IPC: G05D23/27 ,  A23L3/365 ,  A23L5/10 ,  G01J5/48 ,  G05B13/04 ,  H05B6/64

CPC classification number: G05D23/27 ,  A23L3/365 ,  A23L5/15 ,  G01J5/485 ,  G05B13/048 ,  H05B6/645 ,  G01J2005/0077

Abstract: In one embodiment, a method includes accessing a temperature map of a food item in a cooking apparatus, where the temperature map comprises a plurality of regions of the food item and associates a temperature with each region, and the cooking apparatus cooks according to an initial heating technique. The method includes determining, by a computing device, whether a temperature associated with at least one region of the food item violates a predetermined temperature constraint, and in response to a determination that the temperature associated with at least one region of the food item violates a predetermined temperature constraint, then determining an optimal heating technique and instructing the cooking apparatus to cook according to the optimal heating technique. In response to a determination that the temperature of each region does not violate a predetermined temperature constraint, the method includes determining that the initial heating technique should not be changed.

公开(公告)号：US20240070827A1

公开(公告)日：2024-02-29

申请号：US18235663

申请日：2023-08-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Musa Maharramov ,  Ye Zhao ,  Brian Patton

IPC: G06T5/00 ,  G06T5/50

CPC classification number: G06T5/006 ,  G06T5/50 ,  G06T2207/20076 ,  G06T2207/20224

Abstract: In one embodiment, a method includes accessing (1) a corrupted image of a scene captured by a camera, (2) an estimated true image of the scene, (3) an estimated corruption operator f for the camera, and (4) one or more uncertainty metrics for f. The method further includes generating, by applying a corruption operation to the estimated true image and the corruption operator f, a predicted corrupted image of the scene captured by the camera and determining a difference between the predicted corrupted image and the corrupted image captured by the camera. The method further includes determining, based on the one or more uncertainty metrics for f, a likelihood distribution for the corruption operator f, and updating, based on the likelihood distribution for the corruption operator f and on the determined difference between the predicted corrupted image and the corrupted image captured by the camera, the estimated corruption operator f.