Nicholas S Eggert

US Patent:

20230092381, Mar 23, 2023

Filed:

Dec 1, 2022

Appl. No.:

18/072919

Inventors:

- 1000 Nicollet Mall MN, US
MATTHEW NOKLEBY - Minneapolis MN, US
NICHOLAS EGGERT - Inver Grove Heights MN, US
STEPHEN RADACHY - Minneapolis MN, US
COREY HADDEN - Minneapolis MN, US
RACHEL ALDERMAN - Minneapolis MN, US
EDGAR COBOS - Minneapolis MN, US

International Classification:

G06K 9/62
G06T 7/11
G06T 7/20
G06T 11/00
G06Q 30/00
G06K 7/14
G06Q 10/08
G06N 20/00
G06T 7/70
G06V 20/10
G06V 20/40

Abstract:

Systems and methods for automating image annotations are provided, such that a large-scale annotated image collection may be efficiently generated for use in machine learning applications. In some aspects, a mobile device may capture image frames, identifying items appearing in the image frames and detect objects in three-dimensional space across those image frames. Cropped images may be created as associated with each item, which may then be correlated to the detected objects. A unique identifier may then be captured that is associated with the detected object, and labels are automatically applied to the cropped images based on data associated with that unique identifier. In some contexts, images of products carried by a retailer may be captured, and item data may be associated with such images based on that retailer's item taxonomy, for later classification of other/future products.

US Patent:

20210312312, Oct 7, 2021

Filed:

Jun 21, 2021

Appl. No.:

17/352678

Inventors:

- Minneapolis MN, US
NICHOLAS SCOTT EGGERT - Inver Grove Heights MN, US
RAMASUBBU VENKATESH - San Jose CA, US

Assignee:

Target Brands, Inc. - Minneapolis MN

International Classification:

G06N 7/00
H04L 29/08
G06F 17/18
G06N 20/00

Abstract:

Methods and systems for attributing browsing activity from two or more different network-connected devices to a single user are disclosed. In one aspect, cookies generated by the browsing activity of different unidentified devices at a website are received. A random forest classifier trained on probabilities output from a Gaussian mixture model is applied to the unidentified cookies to determine a probability that two different cookies were generated by the same user. In some embodiments, personalized content is then delivered to the user based on the characteristics of the paired cookies.

US Patent:

20210142105, May 13, 2021

Filed:

Nov 6, 2020

Appl. No.:

17/091952

Inventors:

- Minneapolis MN, US
MATTHEW NOKLEBY - Minneapolis MN, US
NICHOLAS EGGERT - Inver Grove Heights MN, US
STEPHEN RADACHY - Minneapolis MN, US
COREY HADDEN - Minneapolis MN, US
RACHEL ALDERMAN - Minneapolis MN, US
EDGAR COBOS - Minneapolis MN, US

International Classification:

G06K 9/62
G06T 7/70
G06T 7/11
G06T 7/20
G06T 11/00
G06K 9/00
G06Q 30/00
G06K 7/14
G06Q 10/08
G06N 20/00

Abstract:

Systems and methods for automating image annotations are provided, such that a large-scale annotated image collection may be efficiently generated for use in machine learning applications. In some aspects, a mobile device may capture image frames, identifying items appearing in the image frames and detect objects in three-dimensional space across those image frames. Cropped images may be created as associated with each item, which may then be correlated to the detected objects. A unique identifier may then be captured that is associated with the detected object, and labels are automatically applied to the cropped images based on data associated with that unique identifier. In some contexts, images of products carried by a retailer may be captured, and item data may be associated with such images based on that retailer's item taxonomy, for later classification of other/future products.

US Patent:

20200226380, Jul 16, 2020

Filed:

Jan 10, 2020

Appl. No.:

16/739752

Inventors:

- Minneapolis MN, US
Corey Hadden - Minneapolis MN, US
Nicholas Eggert - Minneapolis MN, US
Ryan Siskind - Minneapolis MN, US
Edgar Cobos - Minneapolis MN, US
Stephen Radachy - Minneapolis MN, US
Rachel Alderman - Hanover MN, US

International Classification:

G06K 9/00
G06Q 30/06

Abstract:

A retail store including a server having a processor and a memory; a communication network; and a database are disclosed. The server includes an electronic product recognizer that receives a video stream including a plurality of frames from a camera of an electronic mobile device. At least one of the plurality of frames is selected as a captured image. A plurality of products in the captured image is segmented into a plurality of segments. Image recognition is performed using each of the plurality of segments to identify the product in each of the plurality of segments. One or more recognized products identified in the image recognition are output. The one or more recognized products identified in the image recognition are configured to be sent to a user device communicable with the server via the communication network, the server configured to cause one or more stickers to be displayed on the user device.

US Patent:

20200226656, Jul 16, 2020

Filed:

Jan 10, 2020

Appl. No.:

16/739603

Inventors:

- Minneapolis MN, US
Nicholas Eggert - Minneapolis MN, US
Ryan Siskind - Minneapolis MN, US
Edgar Cobos - Minneapolis MN, US
Stephen Radachy - Minneapolis MN, US
Rachel Alderman - Minneapolis MN, US

International Classification:

G06Q 30/06
G06K 9/00
G06T 7/12
G06K 9/34
H04W 4/33

Abstract:

Methods and systems for identifying one or more products in an electronic image are disclosed. The computer-implemented method to electronically recognize a product in an electronic image captured via an electronic mobile device is disclosed. The method includes receiving, by a server, a video stream from a camera of the electronic mobile device, the video stream including a plurality of frames. The server selects at least one of the plurality of frames from the video stream, the at least one of the plurality of frames from the video stream being selected is a captured image. The server segments a plurality of products in the captured image into a plurality of segments. The server performs an image recognition using each of the plurality of segments to identify the product in each of the plurality of segments. One or more recognized products identified in the image recognition is outputted by the server.

US Patent:

20190149626, May 16, 2019

Filed:

Nov 15, 2017

Appl. No.:

15/814167

Inventors:

- Minneapolis MN, US
NICHOLAS SCOTT EGGERT - Inver Grove Heights MN, US
RAMASUBBU VENKATESH - San Jose CA, US

Assignee:

Target Brands, Inc. - Minneapolis MN

International Classification:

H04L 29/08
G06F 17/30
G06F 15/18
G06N 7/00
G06F 17/18

Abstract:

Methods and systems for attributing browsing activity from two or more different network-connected devices to a single user are disclosed. In one aspect, cookies generated by the browsing activity of different unidentified devices at a website are received. A random forest classifier trained on probabilities output from a Gaussian mixture model is applied to the unidentified cookies to determine a probability that two different cookies were generated by the same user. In some embodiments, personalized content is then delivered to the user based on the characteristics of the paired cookies.