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:
Jun. 17, 2025

Filed:

Jun. 27, 2022
Applicant:

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

Inventors:

Zheng Zhang, Bellevue, WA (US);

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

Hao Chen, 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); G06V 10/56 (2022.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06V 40/45 (2022.01); G06V 10/56 (2022.01); G06V 40/172 (2022.01); G06V 40/176 (2022.01); G06V 40/20 (2022.01);
Abstract

Techniques for liveness detection based on gesture validation, facial expression analysis, and concurrency validation. The techniques include selecting a color light pattern challenge and sending the color light pattern challenge to a personal computing device for display on a display screen of the personal computing device. A set of target images (video) is received by a liveness detection service in a provider network from the personal computing device as a response to the challenge. The liveness detection service analyzes the set of target images for macro-facial expression and micro-facial expressions. A liveness determination is made by the liveness detection service as to whether the user of the personal computing device is a live genuine user or an impersonated user based on the analysis of the macro and micro-facial expressions detected in the set of target images.


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