公开(公告)号：US11941581B2

公开(公告)日：2024-03-26

申请号：US17667590

申请日：2022-02-09

Applicant: TRACXPOINT LLC.

Inventor： Moshe Meidar ,  Gidon Moshkovitz ,  Edi Bahous ,  Itai Winkler

IPC: G06K9/32 ,  B62B3/14 ,  G06F18/22 ,  G06F18/23213 ,  G06F18/2413 ,  G06K9/00 ,  G06K9/62 ,  G06N3/02 ,  G06N3/04 ,  G06Q10/087 ,  G06V10/70 ,  G06V20/20 ,  G06V20/52 ,  G06V30/194

CPC classification number: G06Q10/087 ,  B62B3/14 ,  G06F18/22 ,  G06F18/23213 ,  G06F18/24147 ,  G06N3/02 ,  G06N3/04 ,  G06V10/87 ,  G06V20/20 ,  G06V20/52 ,  G06V30/194 ,  G06V2201/09

Abstract: The disclosure relates to systems and methods for real-time detection of a very large number of items in a given constrained volume. Specifically, the disclosure relates to systems and methods for retrieving an optimized set of classifiers from a self-updating classifiers' database, configured to selectively and specifically identify products inserted into a cart in real time, from a database comprising a large number of stock-keeping items, whereby the inserted items' captured images serve simultaneously as training dataset, validation dataset and test dataset for the recognition/identification/re-identification of the product.

公开(公告)号：US11887070B2

公开(公告)日：2024-01-30

申请号：US18058408

申请日：2022-11-23

Applicant: GROUPON, INC.

Inventor： Stephen Clark Mitchell ,  Pavel Melnichuk

IPC: G06K9/34 ,  G06Q20/04 ,  G06V30/40 ,  G06V30/10 ,  G06V30/19 ,  G06F18/20

CPC classification number: G06Q20/047 ,  G06V30/40 ,  G06F18/285 ,  G06V30/10 ,  G06V30/19113 ,  G06V2201/09

Abstract: Techniques for providing improved optical character recognition (OCR) for receipts are discussed herein. Some embodiments may provide for a system including one or more servers configured to perform receipt image cleanup, logo identification, and text extraction. The image cleanup may include transforming image data of the receipt by using image parameters values that optimize the logo identification, and performing logo identification using a comparison of the image data with training logos associated with merchants. When a merchant is identified, a second image clean up may be performed by using image parameter values optimized for text extraction. A receipt structure may be used to categorize the extracted text. Improved OCR accuracy is also achieved by applying on format rules of the receipt structure to the extracted text.

公开(公告)号：US11869263B2

公开(公告)日：2024-01-09

申请号：US17746233

申请日：2022-05-17

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Barry Ahrens

IPC: G06V30/412 ,  G06F40/279 ,  G06F40/30 ,  G06V30/413 ,  G06V30/414 ,  G06V30/196 ,  G06V30/10 ,  G06V30/32

CPC classification number: G06V30/412 ,  G06F40/279 ,  G06F40/30 ,  G06V30/1983 ,  G06V30/413 ,  G06V30/414 ,  G06V30/10 ,  G06V30/32 ,  G06V2201/09 ,  G06V2201/10

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools.

公开(公告)号：US11853377B2

公开(公告)日：2023-12-26

申请号：US14916720

申请日：2014-09-26

Applicant: SEE-OUT PTY LTD

Inventor： Sandra Mau

IPC: G06F16/9538 ,  G06F16/951 ,  G06F16/51 ,  G06F16/248 ,  G06F16/22 ,  G06F16/2457 ,  G06T7/90 ,  G06T7/11 ,  G06F16/583 ,  G06F16/58 ,  G06F18/10 ,  G06F18/21 ,  G06T3/40 ,  G06T5/00 ,  G06V30/10

CPC classification number: G06F16/9538 ,  G06F16/2228 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/51 ,  G06F16/58 ,  G06F16/583 ,  G06F16/5838 ,  G06F16/5846 ,  G06F16/5854 ,  G06F16/951 ,  G06F18/10 ,  G06F18/2178 ,  G06T3/40 ,  G06T5/002 ,  G06T7/11 ,  G06T7/90 ,  G06V30/10 ,  G06V2201/09 ,  G06V2201/10

Abstract: Apparatus for performing searching of a plurality of reference images, the apparatus including one or more electronic processing devices that search the plurality of reference images to identify first reference images similar to a sample image, identify image tags associated with at least one of the first reference image, search the plurality of reference images to identify second reference images using at least one of the image tags and provide search results including at least some first and second reference images.

公开(公告)号：US11799905B2

公开(公告)日：2023-10-24

申请号：US16831009

申请日：2020-03-26

Applicant: Proofpoint, Inc.

Inventor： Brian Sanford Jones ,  Zachary Mitchell Abzug ,  Jeremy Thomas Jordan ,  Giorgi Kvernadze ,  Dallan Quass

IPC: H04L9/40 ,  G06F16/955 ,  G06N20/10 ,  G06F21/56 ,  G06N3/08 ,  G06F16/51 ,  G06N20/00 ,  G06F18/213 ,  G06F18/21

CPC classification number: H04L63/1483 ,  G06F16/51 ,  G06F16/9566 ,  G06F18/213 ,  G06F18/217 ,  G06F21/56 ,  G06N3/08 ,  G06N20/00 ,  G06N20/10 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/1441 ,  G06V2201/09

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive image data of a graphical rendering of a resource available at a uniform resource locator (URL). The computing platform may compute a computer vision vector representation of the image data. The computing platform may compare the computer vision vector representation of the image data to stored numeric vectors representing page elements, resulting in a feature indicating whether the computer vision vector representation of the image data is visually similar to a known page element, and may input the feature to a classifier. The computing platform may receive, from the classifier, a phish classification score indicating a likelihood that the URL is malicious. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

公开(公告)号：US11743415B2

公开(公告)日：2023-08-29

申请号：US17079215

申请日：2020-10-23

Applicant: CANON KABUSHIKI KAISHA

Inventor： Takahiro Nakayama

IPC: G09B5/02 ,  G09B19/00 ,  G06V20/20 ,  H04N5/265 ,  G06T11/00 ,  G06K7/14 ,  G06V10/22 ,  G06K7/10

CPC classification number: H04N5/265 ,  G06K7/1417 ,  G06T11/00 ,  G06V10/22 ,  G06V20/20 ,  G09B5/02 ,  G09B19/003 ,  G06K2007/10504 ,  G06V2201/09

Abstract: A display control unit causes a display unit to display a captured image of a product captured by an image capturing unit. A first obtaining unit obtains product information relating to initial setting of the product based on the captured image data. A second obtaining unit obtains a determination result of an installation state of the product based on the captured image data and the product information of the product. A third obtaining unit obtains combined image data expressing a combined image obtained by combining the captured image captured by the image capturing unit and an instruction image of installation work to be performed on the product by a user, depending on the installation state obtained by the second obtaining unit. The display control unit causes the display unit to display the combined image based on the combined image data.

公开(公告)号：US20230267733A1

公开(公告)日：2023-08-24

申请号：US18308092

申请日：2023-04-27

Applicant: The Nielsen Company (US), LLC

Inventor： Kevin Keqiang Deng ,  Barry Greenberg

IPC: G06V20/40 ,  G06V20/62

CPC classification number: G06V20/40 ,  G06V20/635 ,  G06V20/44 ,  G06V2201/09

Abstract: Methods and apparatus to measure brand exposure in media streams are disclosed. Example apparatus disclosed herein are to determine a first histogram based on at least one of luminance components or chrominance components of a first frame of video, and determine a second histogram based on at least one of luminance components or chrominance components of a second frame of the video. Disclosed example apparatus are also to detect a transition in the video based on the first histogram and the second histogram, and responsive to the detection of the transition in the video. Disclosed example apparatus are further to process a region of interest within at least one of the first frame or the second frame to detect a logo in the region of interest.

公开(公告)号：US20230199038A1

公开(公告)日：2023-06-22

申请号：US18102336

申请日：2023-01-27

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ankit GULATI ,  Vaibhav PACHAURI ,  Ujjaval Kumar SINGH ,  Sampat KHINCHI ,  Deepika DHUPAR ,  Nakul SABHARWAL

IPC: H04L65/401 ,  G06V10/28 ,  G06T5/00 ,  G06T5/50 ,  H04L65/403

CPC classification number: H04L65/4015 ,  G06V10/28 ,  G06T5/008 ,  G06T5/009 ,  G06T5/50 ,  H04L65/403 ,  G06V2201/09 ,  G06V2201/10

Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

公开(公告)号：US20230169758A1

公开(公告)日：2023-06-01

申请号：US18070375

申请日：2022-11-28

Applicant: Blinkfire Analytics, Inc.

Inventor： Stephen Joseph Olechowski, III ,  Nan Jiang ,  Ashwin Krishnaswami ,  Matteo Kenji Miazzo ,  Scott Frederick Majkowski

IPC: G06V10/774 ,  G06V30/146

CPC classification number: G06V10/774 ,  G06V30/147 ,  G06V2201/09

Abstract: A cascade auto-review system for automated classification and annotation of input is provided. An example system is structure adaptive and task oriented and includes a communication module configured to receive the input including images, videos, and metadata. The system further includes a plurality of subsystems. Each subsystem has a series of successive classifier stages configured to detect tags in the input and approve or reject the tags based on the images, the videos, and the metadata. The system further includes a database to store results of the classification and annotation. The results are used to train computer vision and machine learning algorithms.

公开(公告)号：US20240354731A1

公开(公告)日：2024-10-24

申请号：US18028552

申请日：2022-09-28

Applicant: JIO PLATFORMS LIMITED

Inventor： Naveen Kumar PANDEY ,  Balakrishna PAILLA ,  Shailesh KUMAR ,  Abhinav ANAND ,  Suman CHOUDHARY ,  Divya BHAGWAT ,  Hemant KASHNIYAL

IPC: G06Q20/20 ,  G06Q20/18 ,  G06T7/62 ,  G06V10/764 ,  G06V20/52 ,  G06V20/64 ,  G06V20/68

CPC classification number: G06Q20/208 ,  G06Q20/18 ,  G06T7/62 ,  G06V20/52 ,  G06V20/68 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20084 ,  G06T2207/20212 ,  G06T2207/30232 ,  G06T2207/30242 ,  G06V10/764 ,  G06V20/64 ,  G06V2201/09

Abstract: This present disclosure proposes a system and method for providing a 3D computer vision-assisted frictionless self-checkout experience in a traditional retail store by using two RGB-D camera sensors and a conveyer belt. The disclosure provides a self-checkout counter (106) that enables a customer (102) to go through a self-service checkout process by simply placing the collected products one by one on a conveyer belt. One vertical and another horizontal RGB-D sensor (108) mounted in a housing frame attached towards the end of the conveyer belt capture RGB and depth image of each product passing through the housing and pass it to a product recognition engine (216). The engine (216) identifies the unique product along with its volumetric attributes processing the RGB-D data that is further compared with a master product database and processed for invoicing. The customer wallet and payment may be integrated with the customer phone number at the self-checkout counter (106) for providing a completely automated checkout experience.