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.:
Date of Patent:
Jun. 10, 2025
Filed:
Aug. 19, 2024
Samsara Inc., San Francisco, CA (US);
Sung Chun Lee, Fairfax, VA (US);
Nathan Hurst, Seattle, WA (US);
Yan Wang, Mercer Island, WA (US);
Olamide Akintewe, Potterville, MN (US);
Justin Levine, Erie, CO (US);
Kenshiro Nakagawa, San Francisco, CA (US);
Cole Jurden, Kansas City, MO (US);
Rachel Demerly, New York, NY (US);
Aravindh Ramesh, San Francisco, CA (US);
Kevin Lai, Redmond, WA (US);
Jovanna Bubar, Los Angeles, CA (US);
Shirish Nair, Shoreline, WA (US);
Maisie Wang, Seattle, WA (US);
Samsara Inc., San Francisco, CA (US);
Abstract
Techniques are presented for detecting when drivers drive while drowsy. In some implementations, a drowsiness model is trained with data associated with inward videos and outward videos captured during a trip. The inward videos capture the inside of the cabin with the driver, and the outward videos capture the view in front of the vehicle in the direction of travel. Further, a device at the vehicle periodically calculates a drowsiness scale index value that indicates the level of drowsiness of the driver. Calculating the drowsiness scale index value includes obtaining a set of inward frames from the inward videos; for each inward frame, creating a face image by cropping the inward frame; obtaining a set of outward frames from the outward videos; calculating inward embeddings of the face images and outward embeddings of the outward frames; and calculating, by the drowsiness model, the drowsiness scale index value.