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:
May. 13, 2025

Filed:

Mar. 30, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Xiang Xu, New Hyde Park, NY (US);

Mingze Xu, Kirkland, WA (US);

Zheng Zhang, Bellevue, WA (US);

Yuanjun Xiong, Seattle, WA (US);

Wei Xia, Seattle, WA (US);

Jonathan Wu, Seattle, WA (US);

Joseph P Tighe, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/40 (2022.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06T 11/00 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 40/45 (2022.01); G06T 7/0002 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06T 11/00 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/161 (2022.01); G06V 40/171 (2022.01); G06V 40/172 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06T 2210/12 (2013.01);
Abstract

Techniques for liveness detection using a motion, face, and context cues. The techniques can be implemented to prevent against successful presentation attacks, video injection attacks, and deepfake attacks. In some examples, the techniques encompass receiving a set of video frames from a personal computing device. A first liveness determination can be made using a motion-based model based on the received video frames. A second liveness determination can be made using a face-based model based on the received video frames. A third liveness determination can be made using a context-based model based on the received video frames. A final liveness determination can be made based on the first, second and third liveness determinations.


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