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:
Dec. 09, 2025
Filed:
Mar. 20, 2025
Samsara Inc., San Francisco, CA (US);
Evaline Shin-Tin Tsai, Cupertino, CA (US);
Alan Guihong Liu, San Francisco, CA (US);
Ijeoma Emeagwali, San Francisco, CA (US);
Ishaan Kansal, San Francisco, CA (US);
Saleh Elhattab, San Francisco, CA (US);
Bodecker John Dellamaria, San Francisco, CA (US);
Eliott Ray Chapuis, San Francisco, CA (US);
Jason Noah Laska, San Francisco, CA (US);
Jennifer Kao, San Francisco, CA (US);
Sean Kyungmok Bae, San Francisco, CA (US);
Sylvie Lee, Pittsburgh, PA (US);
Brian Tuan, Cupertino, CA (US);
Samsara Inc., San Francisco, CA (US);
Abstract
Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.