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:
Mar. 26, 2024

Filed:

Mar. 16, 2021
Applicant:

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

Inventors:

Ruth Ravichandran, Redmond, WA (US);

Hebaallah Aly Abdelhalim Aly Ismail, Bellevue, WA (US);

Zheng Wang, Sammamish, WA (US);

Shao-Wen Yang, New York, NY (US);

Yang Pan, San Jose, CA (US);

David Hung Huynh, San Jose, CA (US);

Andrey Li, San Jose, CA (US);

Hoshgeldy Tagangeldyevich Tachmuradov, Soquelq, CA (US);

Steven Larson, Georgetown, TX (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0833 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06T 7/579 (2017.01); G06T 19/00 (2011.01); H04W 4/02 (2018.01); H04W 4/024 (2018.01); H04W 4/38 (2018.01); H04W 4/80 (2018.01);
U.S. Cl.
CPC ...
G06Q 10/0833 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06T 7/579 (2017.01); G06T 19/006 (2013.01); H04W 4/023 (2013.01); H04W 4/024 (2018.02); H04W 4/026 (2013.01); H04W 4/027 (2013.01); H04W 4/38 (2018.02); H04W 4/80 (2018.02);
Abstract

Various embodiments are disclosed for providing machine learning routines with peripheral device data to infer driver activity and location. Peripheral device data may be collected on a peripheral device having a machine learning routine executing thereon to infer driver activity and perform improved estimation of driver location. Using driver activity and location estimation, contextually relevant delivery workflow assistance may be automatically provided to a delivery driver or other individual without requiring manual input, thereby improving driver safety and operational efficiency.


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