Samsara Inc.

Samsara Networks Inc.

Alan Guihong Liu

Ijeoma Emeagwali

Jason Noah Laska

Brian Tuan

Bodecker John DellaMaria

Saleh ElHattab

Sylvie Lee

Sean Kyungmok Bae

Evaline Shin-Tin Tsai

Ishaan Kansal

Jennifer Kao

Eliott Ray Chapuis

Sean McGee

Michael Luis Innocenzi

Derrek Harrison

Faiz Abbasi

Michael Ross

Yosub Shin

Jonte Craighead

Albert Hu

Corbin Muraro

Emma Ferguson

Zach Kohl

John Lee

An automated annotation system to automatically designate annotations to records within a report, which may perform operations that include: designating an annotation to a location, the annotation comprising a text string; identifying a record of the location within a report; selecting the annotation based on the record of the location within the report; and applying the text string of the annotation to the record within the report, according to certain example embodiments.

Automated annotation system for electronic logging devices

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

Portable electronic device

Growing community of inventors

San Francisco, CA, United States of America

Alan Guihong Liu