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:
Aug. 15, 2023

Filed:

Nov. 19, 2019
Applicant:

Thales Avionics, Inc., Irvine, CA (US);

Inventors:

Samuel Colt Meskimen, Huntington Beach, CA (US);

Ruchik Samir Dave, Irvine, CA (US);

Jean-Yves Couleaud, Mission Viejo, CA (US);

Assignee:

Thales Avionics, Inc., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/214 (2011.01); H04N 21/414 (2011.01); H04N 21/4223 (2011.01); H04N 21/488 (2011.01); B64D 11/06 (2006.01); B64D 11/00 (2006.01); B64D 45/00 (2006.01); B64D 47/08 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06V 20/59 (2022.01); G06V 20/40 (2022.01); G06F 18/21 (2023.01); G06V 10/774 (2022.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
H04N 21/2146 (2013.01); B64D 11/0015 (2013.01); B64D 11/062 (2014.12); B64D 11/0638 (2014.12); B64D 45/00 (2013.01); B64D 47/08 (2013.01); G06F 18/217 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/774 (2022.01); G06V 20/41 (2022.01); G06V 20/59 (2022.01); G06V 20/593 (2022.01); H04N 21/41422 (2013.01); H04N 21/4223 (2013.01); H04N 21/4882 (2013.01); B64D 2045/007 (2013.01); B64D 2221/00 (2013.01); H04N 7/181 (2013.01);
Abstract

An object recognition computer for a vehicle includes at least one processor and at least one memory storing program code executable by the at least one processor to perform operations. The operations are configured to receive video streams from a plurality of cameras spaced apart within the vehicle and each having a field-of-view capturing at least one passenger seat. For each of the video streams, the operations retrieve from a data structure information that defines a region within video frames of the video stream where object recognition is to be performed to attempt to identify a defined object associated with the at least one passenger seat. The operations then perform object recognition limited to within the defined region to identify the defined object. Notifications can be selectively generated to passengers and/or crew based on the object recognition.


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