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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.

Patent No.:

US 11308284 B1

PDFFull Text
Date of Patent:
Apr. 19, 2022

Filed:

Oct. 21, 2019

Smart cameras enabled by assistant systems

Applicant:

Facebook Technologies, Llc, Menlo Park, CA (US);

Inventors:

Lisa Xiaoyi Huang, Mountain View, CA (US);

Eric Xiao, Berkeley, CA (US);

Nicholas Michael Andrew Benson, Redmond, WA (US);

Yating Sheng, San Francisco, CA (US);

Zijian He, Menlo Park, CA (US);

Assignee:

Facebook Technologies, LLC., Menlo Park, CA (US);

Attorney:

Baker Botts L.L.P.

Primary Examiner:

Charlotte M Baker

Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06F 40/30 (2020.01); G06F 9/54 (2006.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); H04L 51/52 (2022.01); G06F 16/9536 (2019.01); H04L 51/00 (2022.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01); G06F 40/253 (2020.01); G06K 9/00 (2022.01); H04L 67/75 (2022.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06K 9/32 (2006.01); G06Q 50/00 (2012.01); G06F 16/9032 (2019.01); G06F 9/48 (2006.01); G10L 15/08 (2006.01); H04N 7/14 (2006.01); H04L 67/306 (2022.01); G06F 3/16 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 3/011 (2013.01); G06F 3/013 (2013.01); G06F 9/485 (2013.01); G06F 9/4881 (2013.01); G06F 9/547 (2013.01); G06F 16/90332 (2019.01); G06F 16/9536 (2019.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01); G06F 40/253 (2020.01); G06K 9/00302 (2013.01); G06K 9/00671 (2013.01); G06K 9/00677 (2013.01); G06K 9/00718 (2013.01); G06K 9/3241 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01); G10L 15/08 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01); H04L 51/12 (2013.01); H04L 51/32 (2013.01); H04L 67/306 (2013.01); H04L 67/36 (2013.01); H04N 7/147 (2013.01); G06F 3/017 (2013.01); G06F 3/167 (2013.01); G06K 2209/27 (2013.01); G10L 2015/088 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01);
Abstract

In one embodiment, a method includes receiving a user input from a user from a client system associated with the user, wherein the client system comprises one or more cameras, determining one or more points of interest in a field of view of the one or more cameras based on one or more machine-learning models and sensory data captured by the one or more cameras, generating a plurality of media files based on the one or more points of interest, wherein each media file is a recording of at least one of the one or more points of interest, generating one or more highlight files based on the plurality of media files, wherein each highlight file comprises a media file that satisfies a predefined quality standard, and sending instructions for presenting the one or more highlight files to the client system.

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