Samsara Inc.

Samsara Networks Inc.

Jesse Chen

Justin Joel Delegard

Brian Tuan

Bodecker John DellaMaria

Saleh ElHattab

Sylvie Lee

Jennifer Leung

Sean Kyungmok Bae

Timothy John Passaro

Angel Manalastas Lim

Jason Frederic Symons

Mathew Chasan Calmer

Justin Pan

Saumya Jain

Ryan Milligan

Kavya U Joshi

Kirti Varun Munjeti

Frances Peijin Guo

Kavya Joshi

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

An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

Dynamic delivery of vehicle event data

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

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San Francisco, CA, United States of America

Jesse Chen