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:
Sep. 12, 2023

Filed:

Jul. 20, 2020
Applicant:

Anyvision Interactive Technologies Ltd., Holon, IL;

Inventors:

Ishay Sivan, Tel-Aviv, IL;

Ailon Etshtein, Tel-Aviv, IL;

Alexander Zilberman, Holon, IL;

Neil Martin Robertson, Holywood, GB;

Sankha Subhra Mukherjee, Belfast, GB;

Rolf Hugh Baxter, Holywood, GB;

Ohad Shaubi, Yavne, IL;

Idan Barak, Kfar Aviv, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/083 (2023.01); G06T 7/70 (2017.01); H04N 7/18 (2006.01); B64C 39/02 (2023.01); G06V 40/16 (2022.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06V 10/75 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01); G06V 20/10 (2022.01); B64U 101/60 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/083 (2013.01); B64C 39/024 (2013.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06T 7/70 (2017.01); G06V 10/75 (2022.01); G06V 20/10 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01); G06V 40/172 (2022.01); H04N 7/185 (2013.01); B64U 2101/60 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.


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