Samsara Inc.

Samsara Networks Inc.

Kavya U Joshi

Justin Joel Delegard

John Charles Bicket

Brian Tuan

Jason Frederic Symons

Sabrina Quinn Shemet

Mathew Chasan Calmer

Justin Pan

Saumya Jain

Margaret Irene Finch

James Michael Rowson

Jesse Chen

James Duffield

Ryan Milligan

Christian Peter Almer

Kong Kee Poon

Jason Noah Laska

Bodecker John DellaMaria

Muhammad Ali Akhtar

Sean Kyungmok Bae

Evaline Shin-Tin Tsai

Ishaan Kansal

Sharan Srinivasan

Matthew Lee Basham

Vincent Shieh

Bruce Kellerman

Meelap Shah

Cassandra Lee Rommel

Kieran K Gupta

James Chen

Ryan Reading

Tina Quach

Siddhartha Datta Roy

Marvin Arroz

Mitch Lin

Kevin R Lloyd

Matthew Chasan

Abhinav Acharya

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

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

An event detection system to operations that include: detecting an event based on at least a portion of the sensor data, the event comprising a plurality of event attributes; determining one or more event attributes from the plurality of event attributes of the event transgress a threshold value; and causing display of a notification that includes a presentation of at least the portion of the sensor data in response to the determining that the one or more event attributes from among the plurality of event attributes of the event transgress the threshold value.

Event notification system

A baseline event detection system to detect events by performing operations that include: generating a baseline data set; accessing a data stream; performing a comparison of the baseline data set and the data stream; and detecting an event based on the comparison.

Baseline event detection system

Disclosed are systems, methods, and non-transitory computer-readable media for configuration of optical sensor devices in vehicles based on thermal data. To manage the temperature of an optical sensor device, temperature data describing the current temperature of the optical sensor is used to determine whether the current temperature meets or exceeds a predetermined threshold temperature. If the current temperature meets or exceeds the threshold temperature, the optical sensor device may be configured into a modified operating mode to reduce the current temperature of the optical sensor device. For example, the operating mode of the optical sensor device may be modified to terminate one or more processes, reduce a frame rate at which image/video data is captured, and the like.

Configuration of optical sensor devices in vehicles based on thermal data

A method and a gateway system for enabling adaptive power management. The gateway system is powered by a rechargeable battery that is coupled with a solar power source. A location reading indicating a location of the gateway system is transmitted at a first time. A solar profile is received from a management server. The solar profile indicates a measure of power expected to be generated at the location during an interval of time that occurs after the first time by the solar power source. The gateway system determines based on a current battery level of the rechargeable battery and the solar profile an optimal power usage plan for the gateway system and operates according to the optimal power usage plan during the interval of time.

Adaptive power management in a battery powered system based on expected solar energy levels

A method and a management server located in the cloud, for enabling adaptive power management in a gateway system, are described. The management server receives, from the gateway system powered by a rechargeable battery that is coupled with a solar power source, a location measurement indicating the location of the gateway system at a first time. The management server determines a solar profile indicating a measure of the power expected to be generated by the solar power source at the location during an interval of time that occurs after the first time. The management server transmits the solar profile to the gateway system causing the gateway system to determine based on a current battery level of the rechargeable battery and the solar profile an optimal power usage plan for the gateway system and to operate according to the optimal power usage plan during the interval of time.

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San Francisco, CA, United States of America

Kavya U Joshi