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. 27, 2025

Filed:

Aug. 31, 2018
Applicant:

Percipient.ai Inc., Santa Clara, CA (US);

Inventors:

Balan Rama Ayyar, Oakton, VA (US);

Anantha Krishnan Bangalore, Sterling, VA (US);

Jerome Francois Berclaz, Sunnyvale, CA (US);

Reechik Chatterjee, Washington, DC (US);

Nikhil Kumar Gupta, Oak Hill, VA (US);

Ivan Kovtun, Cupertino, CA (US);

Vasudev Parameswaran, Fremont, CA (US);

Timo Pekka Pylvaenaeinen, Menlo Park, CA (US);

Rajendra Jayantilal Shah, Cupertino, CA (US);

Assignee:

Percipient.AI Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 16/738 (2019.01); G06F 16/783 (2019.01); G06V 10/74 (2022.01); G06V 20/30 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 40/162 (2022.01); G06F 16/738 (2019.01); G06F 16/784 (2019.01); G06V 10/761 (2022.01); G06V 20/30 (2022.01); G06V 20/41 (2022.01); G06V 20/49 (2022.01); G06V 40/165 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/173 (2022.01);
Abstract

This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.


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