The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 11, 2025

Filed:

Jul. 14, 2021
Applicant:

The Chamberlain Group Llc, Oak Brook, IL (US);

Inventors:

Jordan Ari Farber, Santa Clara, CA (US);

Nathan John Kopp, Fremont, CA (US);

Assignee:

THE CHAMBERLAIN GROUP LLC., Oak Brook, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06F 18/40 (2023.01); G06N 20/00 (2019.01); G06V 10/40 (2022.01); G07C 9/10 (2020.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06F 18/2148 (2023.01); G06F 18/217 (2023.01); G06F 18/2413 (2023.01); G06F 18/40 (2023.01); G06N 20/00 (2019.01); G06V 10/40 (2022.01); G07C 9/10 (2020.01); H04N 7/183 (2013.01); H04N 7/188 (2013.01); G06V 2201/08 (2022.01);
Abstract

In one aspect of the present disclosure, an object monitoring system for a secured area is provided. The object monitoring system includes an image sensor operable to capture an image of the secured area and a memory configured to store a machine learning algorithm trained to identify a vehicle in the secured area, the machine learning algorithm including feature maps of training images captured by the image sensor. The object monitoring system further includes a processor operably coupled to the image sensor and the memory, the processor configured to calculate a feature descriptor of the image and to utilize the machine learning algorithm and the image of the secured area to determine whether a vehicle is present in the secured area by determining a correlation between the feature descriptor of the image and the feature maps of the training images.


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