公开(公告)号：US12100274B2

公开(公告)日：2024-09-24

申请号：US17722905

申请日：2022-04-18

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer

IPC: G08B13/196 ,  G06V40/10

CPC classification number: G08B13/19608 ,  G06V40/10 ,  G08B13/19613 ,  G08B13/19682

Abstract: Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

公开(公告)号：US11798380B2

公开(公告)日：2023-10-24

申请号：US17856083

申请日：2022-07-01

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer ,  Arun Patil ,  Dharmavaram Arbaaz ,  Arun Vaishnav ,  Prakash Mall ,  Neha Dixit

IPC: G07G1/00 ,  G06F18/2413 ,  G07G3/00 ,  G06V10/764 ,  G06V20/52

CPC classification number: G07G1/0045 ,  G06F18/24137 ,  G06F18/24147 ,  G06V10/764 ,  G06V20/52 ,  G07G3/003

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

公开(公告)号：US20230056327A1

公开(公告)日：2023-02-23

申请号：US17878644

申请日：2022-08-01

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer

IPC: G06V20/40 ,  G06V20/52 ,  G06Q20/20 ,  G06N20/00

Abstract: Described herein are systems and methods for determining whether a scanning motion occurred during a checkout process. The system includes a checkout lane having a scanning area that receives products to be purchased by a user, scanning devices, a point of sale (POS) terminal that identifies a product based on a scan, using the scanning devices, of a product identifier for the product as the product is moved through the scanning area, and an overhead camera that captures image data of the user's body movements and transmits, to a computing system, the image data. The computing system can, during runtime, identify whether a scanning motion occurred during the user's body movements based on application of one or more motion identification models to the image data and determine, based on identification of the scanning motion, that the user performed an affirmative scan during the checkout process.

公开(公告)号：US20230005342A1

公开(公告)日：2023-01-05

申请号：US17856083

申请日：2022-07-01

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer ,  Arun Patil ,  Dharmavaram Arbaaz ,  Arun Vaishnav ,  Prakash Mall ,  Neha Dixit

IPC: G07G1/00 ,  G07G3/00 ,  G06V20/52 ,  G06V10/764 ,  G06K9/62

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

公开(公告)号：US20230004978A1

公开(公告)日：2023-01-05

申请号：US17722820

申请日：2022-04-18

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer

IPC: G06Q20/40 ,  G06F16/35 ,  G06Q20/20

Abstract: Described herein are systems and methods for generating security event case files with unstructured data. For example, the method can include receiving, by a computing system, unstructured data and system-based inferences from devices positioned throughout a store, and adding structure to the unstructured data and system-based inferences based on applying one or more structuring models. Adding structure can include labeling the data and system-based inferences, classifying them into security event categories, and identifying objective identifiers to identify users in the data and system-based inferences. The method also can include generating case files for each of the objective identifiers, where the case files include the associated data. The method can include determining whether the case files satisfy alerting rules. The case files can then be reported out and acted upon (e.g., based on satisfying the alerting rules) and/or stored for subsequent analysis and use.