Samsara Inc.

Justin Pan

Justin Joel Delegard

Mathew Chasan Calmer

Jason Frederic Symons

Saumya Jain

Kavya U Joshi

Jesse Chen

Ryan Milligan

John Charles Bicket

Sabrina Quinn Shemet

Brian Tuan

Muhammad Ali Akhtar

Sharan Srinivasan

Margaret Irene Finch

Meelap Shah

Vincent Shieh

Bruce Kellerman

Cassandra Lee Rommel

Tina Quach

Siddhartha Datta Roy

Marvin Arroz

Mitch Lin

Kevin R Lloyd

Glen Phillip McGillan

Eric Klaus Allseits

Lucas Glenat

Kavya Joshi

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

A selective recording system to perform operations that include: accessing, at a system gateway, a data stream generated by a sensor device; determining a property of a portion of the data stream at the system gateway, the property of the portion of the data stream comprising a value; determining that the value of the property of the portion of the data stream transgresses a threshold value; and recording the portion of the data stream within a database of the system gateway in response to the determining that the property of the portion of the data stream transgresses the threshold value.

Selective recording of sensor data within a system gateway

A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.

Dash cam with artificial intelligence safety event detection

A device orientation calibration system to perform operations that include: accessing inertial measurement unit (IMU) data generated by an IMU mounted upon an object that corresponds with a first reference frame, the IMU data indicating a second reference frame that comprises a Z-axis, a Y-axis, and an X-axis; performing a calibration of the IMU data to align the second reference frame of the IMU with the first reference frame of the object, the performing the calibration comprising: determining a gravitational vector based on a first portion of the IMU data; applying a first rotation to the IMU data to align the Z-axis of the second reference frame with the gravitational vector; determining a forward motion vector based on a second portion of the IMU data; and applying a second rotation to the IMU data to align the X-axis of the second reference frame with the forward motion vector.

Device orientation calibration system

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San Francisco, CA, United States of America

Justin Pan