Samsara Inc.

Samsara Networks Inc.

Jennifer Leung

Justin Joel Delegard

Brian Tuan

Bodecker John DellaMaria

Saleh ElHattab

Sylvie Lee

Jesse Chen

Sean Kyungmok Bae

Timothy John Passaro

Angel Manalastas Lim

Andrew E Robbins

Michael Ross

Wendy Greenberg

Alexander Stevenson

Aaron Szerlip

Rushil Goel

Josephine Nord

Matvey Zagaynov

Kirti Varun Munjeti

Frances Peijin Guo

Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Event detection system

A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

Vehicle gateway device and interactive graphical user interfaces associated therewith

Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Machine-learned model based event detection

Object-model based event detection system

Growing community of inventors

Berkeley, CA, United States of America

Jennifer Leung