Samsara Inc.

Samsara Networks Inc.

Jennifer Kao

Jason Noah Laska

Brian Tuan

Bodecker John DellaMaria

Saleh ElHattab

Ijeoma Emeagwali

Sean Kyungmok Bae

Ishaan Kansal

Alan Guihong Liu

Evaline Shin-Tin Tsai

Eliott Ray Chapuis

Sylvie Lee

Sean McGee

Faiz Abbasi

Yogesh Bhumralkar

Aditi Dugar

Lucas Doyle

Christopher Siling Xue

Zack Littke-Smith

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.

Facial recognition technology for improving driver safety

Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.

Facial recognition technology for improving motor carrier regulatory compliance

A quick action menu system may be configured to perform operations that include: causing display of a graphical user interface (GUI) at a client device, the GUI comprising a display of a persistent icon at a position within the GUI; receiving a selection of the persistent icon from the client device; accessing user profile data associated with a user of the client device responsive to the input that selects the persistent icon; and causing display of a quick actions menu to display content associated with the user profile data.

Context based action menu

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San Francisco, CA, United States of America

Jennifer Kao