公开(公告)号：US12118776B2

公开(公告)日：2024-10-15

申请号：US18511639

申请日：2023-11-16

Applicant: Beijing Zitiao Network Technology Co., Ltd.

Inventor： Shunming Qiu ,  Xiaobin Guo ,  Gang Li ,  Gen Li ,  Shupeng Zhang

IPC: G06K9/46 ,  G06K9/66 ,  G06V10/10 ,  G06V10/40 ,  G06V10/74 ,  G06V10/98

CPC classification number: G06V10/993 ,  G06V10/10 ,  G06V10/40 ,  G06V10/74

Abstract: The present disclosure provides an image processing method, apparatus, and device, and a storage medium. The method includes determining, in response to receiving a preset identification operation triggered for a capturing frame on a capturing page, a target image having image clarity meeting a preset clarity condition based on the capturing frame on the capturing page. Then, the target image is transmitted to an image identification server for image identifying. Thus, the image processing method provided in the embodiments of the present disclosure can determine a target image having image clarity meeting a preset clarity condition first before image identification and allow an image identification server to perform identification based on the target image which meets the preset clarity condition, thereby the accuracy of image identification can be improved.

公开(公告)号：US20240331374A1

公开(公告)日：2024-10-03

申请号：US18579995

申请日：2021-09-30

Applicant: NEC Corporation

Inventor： Yoshifumi Onishi ,  Koichi Nihei ,  Takanori Iwai

IPC: G06V10/98 ,  G06V10/25

CPC classification number: G06V10/993 ,  G06V10/25

Abstract: An information processing system (1) includes: acquisition means (11) for acquiring a coding parameter at a plurality of timings of a video image distributed via a network; and estimation means (12) for estimating reliability of results of analyzing information on a subject based on coding parameters of an area of a specific part of the subject at the plurality of timings.

公开(公告)号：US12106466B2

公开(公告)日：2024-10-01

申请号：US17915126

申请日：2021-03-08

Applicant: JFE Steel Corporation

Inventor： Naoya Kiyokane ,  Yoshie Obata ,  Shin Ishikawa ,  Takako Yamashita ,  Takeshi Nishiyama

IPC: G01N1/32 ,  G01N33/204 ,  G06T7/00 ,  G06V10/10 ,  G06V10/764 ,  G06V10/98 ,  G06V20/70 ,  H04N23/60

CPC classification number: G06T7/0004 ,  G01N1/32 ,  G01N33/204 ,  G06V10/10 ,  G06V10/764 ,  G06V10/993 ,  G06V20/70 ,  H04N23/64 ,  G06T2207/10056 ,  G06T2207/20084 ,  G06T2207/30136 ,  G06T2207/30168

Abstract: A photographing condition determining method includes: photographing a part of a metal structure of a metal material subjected to predetermined sample preparation under a predetermined photographing condition; assigning, to pixels corresponding to one or a plurality of predetermined phases of the metal structure, labels of respective phases for a photographed image; calculating one or more feature values for a pixel to which a label of one of the assigned phases; classifying the phases of the metal structure of the image by inputting a calculated feature value to a model, which has been learned in advance using feature values assigned with labels of respective phases as input and labels of the respective phases as output, and acquiring a label of a phase of a pixel corresponding to the input feature value; and determining a photographing condition when other parts of the metal structure are photographed based on a classification result.

公开(公告)号：US20240321004A1

公开(公告)日：2024-09-26

申请号：US18189830

申请日：2023-03-24

Applicant: Konica Minolta Business Solutions U.S.A., Inc.

Inventor： Darrell Eugene Bellert

IPC: G06V40/16 ,  G06T7/20 ,  G06V10/96 ,  G06V10/98 ,  G06V20/52 ,  G06V40/40

CPC classification number: G06V40/172 ,  G06T7/20 ,  G06V10/96 ,  G06V10/993 ,  G06V20/52 ,  G06V40/161 ,  G06V40/45 ,  G06T2207/10016 ,  G06T2207/30168 ,  G06T2207/30201 ,  G06T2207/30232

Abstract: A method for management of a visitor workflow includes receiving a video stream from a camera and using a first thread and a second thread. The first thread generates one or more expiring buffers by: processing frames of the video stream; using an object recognition algorithm to detect and track each face in the frames of the video stream and assign a universal unique identifier (UUID) for each face; and maintaining, for each UUID, a corresponding expiring buffer that includes a timer and the frames of the video stream showing the face corresponding to the UUID. The second thread processes a given expiring buffer by: allocating frames of the given expiring buffer to a biometric thread pool comprising a biometric subthread for each algorithm of a biometric algorithm list; executing the biometric thread pool in parallel; and determining a workflow based on the biometric results.

公开(公告)号：US12088724B2

公开(公告)日：2024-09-10

申请号：US17562486

申请日：2021-12-27

Applicant: SAMSUNG SDS CO., LTD.

Inventor： Kwan Sik Yoon ,  Eun Kyung Kim

IPC: H04L9/32 ,  G06V10/25 ,  G06V10/98 ,  H04L9/00

CPC classification number: H04L9/3236 ,  G06V10/25 ,  G06V10/993 ,  H04L9/3218 ,  H04L9/3247 ,  H04L9/50

Abstract: A method according to an embodiment of the present disclosure includes obtaining proof data including a photographed image and a challenge code for proving original of the image, generating hash data by using the proof data, generating signature data for the hash data, transmitting the proof data, the hash data, and the signature data to a server, and receiving an access path to an original verification result of the proof data from the server.

公开(公告)号：US20240289930A1

公开(公告)日：2024-08-29

申请号：US18634115

申请日：2024-04-12

Applicant: Intel Corporation

Inventor： Wenlong Yang ,  Tomer Rider ,  Xiaopei Zhang

IPC: G06T5/77 ,  G05B13/02 ,  G05D1/00 ,  G06F18/214 ,  G06F18/24 ,  G06F18/2413 ,  G06F18/25 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06T7/00 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/98

CPC classification number: G06T5/77 ,  G05B13/0265 ,  G06F18/214 ,  G06F18/24 ,  G06F18/24133 ,  G06F18/251 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06T7/0002 ,  G06V10/764 ,  G06V10/803 ,  G06V10/82 ,  G06V10/993 ,  G05D1/00 ,  G06N3/044 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

公开(公告)号：US12073552B2

公开(公告)日：2024-08-27

申请号：US17370966

申请日：2021-07-08

Applicant: Align Technology, Inc.

Inventor： Paren Indravadan Shah ,  Anatoliy Parpara ,  Andrey Cherkas ,  Alexey Kalinichenko

IPC: G06T7/00 ,  B29C64/386 ,  B33Y50/00 ,  G06K9/62 ,  G06T7/11 ,  G06T7/12 ,  G06T7/60 ,  G06T7/70 ,  G06V10/98 ,  G06V20/64 ,  H04N23/74

CPC classification number: G06T7/0008 ,  B29C64/386 ,  B33Y50/00 ,  G06T7/001 ,  G06T7/11 ,  G06T7/12 ,  G06T7/60 ,  G06T7/70 ,  G06V10/993 ,  G06V20/64 ,  H04N23/74 ,  G06T2207/10152 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20132 ,  G06T2207/30036 ,  G06T2207/30144 ,  G06T2207/30168

Abstract: Systems and methods for performing automated quality control for 3D printed molds for orthodontic aligners are described. A method includes generating a plurality of images of the 3D printed mold for the orthodontic aligner using one or more imaging devices, wherein each image of the plurality of images depicts a distinct region of the 3D printed mold for the orthodontic aligner; processing the plurality of images by a processing device to identify one or more types of manufacturing defects of the 3D printed mold for the orthodontic aligner, wherein for each type of manufacturing defect a probability that an image comprises a defect of that type of manufacturing defect is determined; and classifying, by the processing device, the 3D printed mold for the orthodontic aligner as defective based on identifying the one or more types of manufacturing defects.

公开(公告)号：US20240265728A1

公开(公告)日：2024-08-08

申请号：US18380874

申请日：2023-10-17

Applicant: Samsung Display Co., LTD.

Inventor： Yasuhiko SHINKAJI ,  Masahiko YOSHIYAMA

IPC: G06V40/12 ,  G06V10/24 ,  G06V10/26 ,  G06V10/34 ,  G06V10/36 ,  G06V10/82 ,  G06V10/98

CPC classification number: G06V40/1359 ,  G06V10/242 ,  G06V10/26 ,  G06V10/34 ,  G06V10/36 ,  G06V10/82 ,  G06V10/993 ,  G06V40/1335 ,  G06V40/1376

Abstract: An electronic device includes: a display unit which displays an image; a fingerprint sensing unit that senses a fingerprint including a ridge and a valley and outputs a fingerprint sensing signal including a fingerprint image, a readout circuit which generates a fingerprint processing signal based on the fingerprint sensing signal and determines whether the fingerprint processing signal matches a stored fingerprint signal, by comparing the fingerprint processing signal with the stored fingerprint signal, and a memory connected to the readout circuit. The readout circuit includes an area division unit, an estimation unit, a first sharpening processing unit, a second sharpening processing unit, and a processing unit.

公开(公告)号：US12056541B2

公开(公告)日：2024-08-06

申请号：US18316868

申请日：2023-05-12

Applicant: CAPITAL ONE SERVICES, LLC

Inventor： Austin Walters ,  Jeremy Goodsitt

IPC: G06K9/00 ,  G06F8/71 ,  G06F9/54 ,  G06F11/36 ,  G06F16/22 ,  G06F16/242 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/25 ,  G06F16/28 ,  G06F16/335 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/9038 ,  G06F16/906 ,  G06F16/93 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G06F18/20 ,  G06F18/21 ,  G06F18/2115 ,  G06F18/213 ,  G06F18/214 ,  G06F18/22 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2411 ,  G06F18/2415 ,  G06F18/40 ,  G06F21/55 ,  G06F21/60 ,  G06F21/62 ,  G06F30/20 ,  G06F40/117 ,  G06F40/166 ,  G06F40/20 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/06 ,  G06N3/08 ,  G06N3/088 ,  G06N5/00 ,  G06N5/02 ,  G06N5/04 ,  G06N7/00 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06T7/194 ,  G06T7/246 ,  G06T7/254 ,  G06T11/00 ,  G06V10/70 ,  G06V10/98 ,  G06V30/194 ,  G06V30/196 ,  H04L9/40 ,  H04L67/00 ,  H04L67/306 ,  H04N21/234 ,  H04N21/81

CPC classification number: G06F9/541 ,  G06F8/71 ,  G06F9/54 ,  G06F9/547 ,  G06F11/3608 ,  G06F11/3628 ,  G06F11/3636 ,  G06F16/2237 ,  G06F16/2264 ,  G06F16/2423 ,  G06F16/24568 ,  G06F16/248 ,  G06F16/254 ,  G06F16/258 ,  G06F16/283 ,  G06F16/285 ,  G06F16/288 ,  G06F16/335 ,  G06F16/90332 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/906 ,  G06F16/93 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G06F18/2115 ,  G06F18/213 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/2193 ,  G06F18/22 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2411 ,  G06F18/2415 ,  G06F18/285 ,  G06F18/40 ,  G06F21/552 ,  G06F21/60 ,  G06F21/6245 ,  G06F21/6254 ,  G06F30/20 ,  G06F40/117 ,  G06F40/166 ,  G06F40/20 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/06 ,  G06N3/08 ,  G06N3/088 ,  G06N5/00 ,  G06N5/02 ,  G06N5/04 ,  G06N7/00 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06T7/194 ,  G06T7/246 ,  G06T7/248 ,  G06T7/254 ,  G06T11/001 ,  G06V10/768 ,  G06V10/993 ,  G06V30/194 ,  G06V30/1985 ,  H04L63/1416 ,  H04L63/1491 ,  H04L67/306 ,  H04L67/34 ,  H04N21/23412 ,  H04N21/8153 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for generating synthetic video are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include generating a static background image and determining the location of a reference edge. The operations may include determining a perspective of an observation point. The operations may include generating synthetic difference images that include respective synthetic object movement edges. The operations may include determining a location of the respective synthetic object movement edge and generating adjusted difference images corresponding to the individual synthetic difference images. Adjusted difference images may be based on synthetic difference images, locations of the respective synthetic object movement edges, the perspective of the observation point, and the location of the reference edge. The operations may include generating texturized images based on the adjusted difference images.

公开(公告)号：US12050015B2

公开(公告)日：2024-07-30

申请号：US18144010

申请日：2023-05-05

Applicant: June Life, LLC

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Robert Cottrell ,  Jithendra Paruchuri ,  Ryan Perry ,  Matthew Van Horn ,  Christopher Russell Clark ,  Eugenia Kuo

IPC: F24C7/08 ,  G06V10/764 ,  G06V10/82 ,  G06V10/98 ,  G06V20/68

CPC classification number: F24C7/085 ,  G06V10/764 ,  G06V10/82 ,  G06V10/993 ,  G06V20/68

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.