公开(公告)号：WO2021021533A1

公开(公告)日：2021-02-04

申请号：PCT/US2020/043162

申请日：2020-07-23

Applicant: KLA CORPORATION

Inventor： YATI, Arpit ,  GURUMURTHY, Chandrashekaran

IPC: G06T7/00 ,  G06T1/00 ,  G06T15/20 ,  G06N20/00 ,  G05B13/027 ,  G05B19/41875 ,  G05B2219/32194 ,  G05B2219/32335 ,  G05B2219/45031 ,  G06T2207/10061 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30148 ,  G06T7/0006 ,  G06T7/0008

Abstract: A system for characterizing a specimen is disclosed. In one embodiment, the system includes a characterization sub-system configured to acquire one or more images a specimen, and a controller communicatively coupled to the characterization sub-system. The controller may be configured to: receive training images of one or more features of a specimen from the characterization sub-system; receive training three-dimensional (3D) design images corresponding to the one or more features of the specimen; generate a deep learning predictive model based on the training images and the training 3D design images; receive product 3D design images of one or more features of a specimen; generate simulated images of the one or more features of the specimen based on the product 3D design images with the deep learning predictive model; and determine one or more characteristics of the specimen based on the one or more simulated images.

公开(公告)号：WO2021147385A1

公开(公告)日：2021-07-29

申请号：PCT/CN2020/120888

申请日：2020-10-14

Applicant: 上海万物新生环保科技集团有限公司

Inventor： 刘尧 ,  常树林 ,  陈敏

IPC: G06T7/00 ,  G06T2207/10004 ,  G06T2207/30121 ,  G06T7/0008 ,  G06T7/11 ,  G06T7/136 ,  G06T7/62

Abstract: 本发明的目的是提供一种屏幕检测方法及装置，本发明通过将屏幕亮屏显示为白底画面，基于白底画面的边界可以简单、准确的定位设备的屏幕位置。另外，本发明通过分别拍摄包含显示为满屏黄色画面的屏幕区域的第一照片、包含显示为满屏白色画面的屏幕区域的第二照片，便于后续在第一照片或第二照片中可靠识别出所述屏幕的轮廓所围成的范围内的不同种类的屏幕裂纹或划痕。

公开(公告)号：WO2023058293A1

公开(公告)日：2023-04-13

申请号：PCT/JP2022/027782

申请日：2022-07-08

Applicant: MITSUBISHI ELECTRIC CORPORATION

Inventor： JONES, Michael

IPC: G06V10/50 ,  G06T7/20 ,  G06V10/75 ,  G06V20/40 ,  G06V20/52 ,  G05B23/0286 ,  G06F18/2148 ,  G06F18/22 ,  G06F18/285 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30164 ,  G06T7/0008 ,  G06T7/001 ,  G06T7/11 ,  G06T7/248 ,  G06T7/254 ,  G06V10/758 ,  G06V20/41 ,  G06V20/46 ,  G06V20/49 ,  G06V2201/06

Abstract: A system for detecting an anomaly in a video of a factory automation scene is disclosed. The system may accept the video; accept a set of training feature vectors derived from spatio-temporal regions of a training video, where a spatio-temporal region is associated with one or multiple training feature vectors; partition the video into multiple sequences of video volumes; produce a sequence of binary difference images for each of the video volumes; count occurrences of each of predetermined patterns of pixels in each binary difference image for each of the video volumes to produce an input feature vector including an input motion feature vector defining a temporal variation of counts of the predetermined patterns for each of the video volumes; produce a set of distances based on the produced input feature vectors and the set of training feature vectors; and detect the anomaly based on the produced set of distances.

公开(公告)号：WO2021108233A2

公开(公告)日：2021-06-03

申请号：PCT/US2020/061411

申请日：2020-11-20

Applicant: BWXT ADVANCED TECHNOLOGIES LLC

Inventor： KITCHEN, Ryan Scott ,  FISHER, Benjamin D.

IPC: B05D7/22 ,  B05C13/02 ,  B29C64/129 ,  B29C64/268 ,  B29C64/393 ,  B33Y10/00 ,  B33Y50/02 ,  G06T2207/30164 ,  G06T7/0008 ,  G06T7/001 ,  G06T7/62

Abstract: Methods to in-situ monitor production of additive manufacturing products collects images from the deposition process on a layer-by-layer basis, including a void image of the pattern left in a slurry layer after deposition of a layer and a displacement image formed by immersing the just-deposited layer in a renewed slurry layer. Image properties of the void image and displacement image are corrected and then compared to a binary expected image from a computer generated model to identify defects in the just-deposited layer on a layer-by-layer basis. Additional methods use the output from the comparison to form a 3D model corresponding to at least a portion of the additive manufacturing product. Components to control the additive manufacturing operation based on digital model data and to in-situ monitor successive layers for manufacturing defects can be embodied in a computer system or computer-aided machine, such as a computer controlled additive manufacturing machine.

公开(公告)号：WO2021030598A2

公开(公告)日：2021-02-18

申请号：PCT/US2020/046197

申请日：2020-08-13

Applicant: AUTONOMOUS SOLUTIONS, INC.

Inventor： BYBEE, Taylor, C. ,  FERRIN, Jeffrey, L.

IPC: G01C21/32 ,  G01C21/34 ,  G01C21/36 ,  G05D3/12 ,  B60W2050/021 ,  B60W2050/0215 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2556/25 ,  B60W50/0205 ,  G06T7/0008

Abstract: Some embodiments of the invention include a method for updating an occlusion probability map. An occlusion probability map,ap represents the probability that a given portion of the sensor field is occluded from one or more sensors. In some embodiments, a method may include receiving field of view data from a sensor system; producing a probabilistic model of the sensor field of view; and updating an occlusion probability map using the probabilistic model and field of view data.

公开(公告)号：WO2022208072A1

公开(公告)日：2022-10-06

申请号：PCT/GB2022/050788

申请日：2022-03-30

Applicant: SEECHANGE TECHNOLOGIES LIMITED

Inventor： RUIZ-GARCIA, Ariel Edgar ,  PACKWOOD, David ,  PALLISTER, Michael Andrew

IPC: G06V10/82 ,  G06V10/26 ,  G06V10/36 ,  G06V10/774 ,  G06V10/14 ,  G06V20/70 ,  G06V20/56 ,  G06V20/52 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30232 ,  G06T7/0008 ,  G06T7/11 ,  G06T7/194 ,  G06V10/457 ,  G06V10/759 ,  G06V10/764 ,  G06V10/765 ,  G06V20/50 ,  G08B21/182 ,  H04N7/18

Abstract: System, apparatus and method of image processing to detect a substance spill on a solid surface such as a floor is disclosed. First data representing a first image, captured by an image sensor, of a region including a solid surface, is received. A trained semantic segmentation neural network is applied to the first image data to determine, for each pixel of the first image, a spill classification value associated with the pixel, the determined spill classification value for a given pixel indicating the extent to which the trained semantic segmentation neural network estimates, based on its training, that the given pixel illustrates a substance spill. The presence of a substance spill on the solid surface is detected based on the determined spill classification values of the pixels of the first image.

公开(公告)号：WO2021071123A2

公开(公告)日：2021-04-15

申请号：PCT/KR2020/012540

申请日：2020-09-17

Applicant: 주식회사 신세계아이앤씨

Inventor： 조상현

IPC: G06Q10/08 ,  G06Q10/10 ,  G06T7/00 ,  G06Q10/087 ,  G06T2207/10024 ,  G06T7/0008

Abstract: 본 발명의 일 실시예에 따른 영상 기반 선반 상품 재고 모니터링 시스템은 촬영장치로부터 입력영상을 획득하는 영상획득모듈; 상기 입력영상을 그리드 타일 단위로 분할한 후 각 타일의 컬러 정보 및 주파수 정보를 통해 상품이 존재하는 영역인 상품영역을 추출하는 상품영역추출모듈; 상기 상품영역에 존재하는 상품을 인식하는 상품인식모듈; 및 상기 상품영역의 면적을 통해 재고 수량을 파악하는 재고파악모듈을 포함한다.