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US Patent 11386325 Ensemble neural network state machine for detecting distractions

Patent 11386325 was granted and assigned to Samsara Sciences on July, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Samsara (company)
Samsara (company)
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Current Assignee
Samsara Sciences
Samsara Sciences
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113863250
Patent Inventor Names
Abner Ayala Acevedo0
Vincent Shieh0
Sharan Srinivasan0
Muhammad Ali Akhtar0
John Bicket0
Jing Wang0
Bruce Kellerman0
Brian Tuan0
Date of Patent
July 12, 2022
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Patent Application Number
174547990
Date Filed
November 12, 2021
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Patent Citations
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US Patent 10489222 Distributed computing resource management
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US Patent 10503990 System and method for determining probability that a vehicle driver is associated with a driver identifier
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US Patent 10579123 Adaptive power management in a battery powered system based on expected solar energy levels
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US Patent 10609114 Industrial controller system and interactive graphical user interfaces related thereto
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US Patent 10623899 Crash event detection, response and reporting apparatus and method
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US Patent 10827324 Method and apparatus for tracking assets
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US Patent 10843659 Remote vehicle immobilizer
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US Patent 10999374 Event detection system
...
Patent Citations Received
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US Patent 12128919 Dash cam with artificial intelligence safety event detection
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US Patent 11558449 Industrial controller system and interactive graphical user interfaces related thereto
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US Patent 11641388 Remote asset notification
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US Patent 11641604 Systems and methods for handovers between cellular networks on an asset gateway device
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US Patent 11643102 Dash cam with artificial intelligence safety event detection
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US Patent 11671478 Remote asset monitoring and control
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US Patent 11665223 Automated network discovery for industrial controller systems
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US Patent 11688211 Dynamic delivery of vehicle event data
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Patent Primary Examiner
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Peter D Nolan
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CPC Code
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G06N 3/08
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G06N 7/005
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G06N 20/20
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B60W 40/09
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B60W 50/14
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A vehicle device may execute one or more neural networks (and/or other artificial intelligence), based on input from one or more of the cameras and/or other sensors, to intelligently detect safety events in real-time. The one or more neural networks may be an ensemble neural network that includes neural networks for detecting a head and hand of a user, neural networks for detecting hand actions of the user, neural networks for detecting the head pose of the user, neural networks for predicting an occurrence of an event, and neural networks for predicting a start time and end time of the event. Further, the neural networks can be segmented into a modular neural network based on metadata. The segmentation of the neural network can define a thin layer of the modular neural network to enable independent tuning of the thin layer of the modular neural network.

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