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:
Dec. 19, 2023

Filed:

May. 13, 2022
Applicant:

Chertoff Group, Llc, Washington, DC (US);

Inventors:

Lee Kair, Fairfax, VA (US);

Bennet Waters, Durham, NC (US);

Assignee:

CHERTOFF GROUP, LLC, Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 5/00 (2006.01); G06N 20/00 (2019.01); G06F 21/57 (2013.01); H04L 9/40 (2022.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G01V 5/0083 (2013.01); G06F 21/577 (2013.01); G06N 20/00 (2019.01); G06V 20/52 (2022.01); H04L 63/1408 (2013.01); H04L 63/1433 (2013.01); H04L 63/1441 (2013.01); H04L 63/20 (2013.01);
Abstract

In a transportation security technique, images are stored that are received from image capturing equipment deployed at respective screening nodes. The images are analyzed using a machine learning model, where presence of a particular object in an image indicates that a threat condition exists at the screening node. The analyzed images are transmitted to threat assessment components in accordance with predetermined criteria. An indication that the particular object is observed in the image is received from the threat assessment components. An indication that the particular object is observed in the image is transmitted to the screening node responsive to receiving the indication that the particular object is observed in the image. An indication of whether the particular object is present at the screening node is received. The machine learning model is trained based on the received indication of whether the particular object is observed in the image.


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