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公开(公告)号：US11995546B1
公开(公告)日：2024-05-28
申请号：US17811512
申请日：2022-07-08
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC classification number: G06N3/08 , B60W40/09 , B60W50/14 , G06N7/01 , G06N20/20 , B60W2420/403 , B60W2420/54 , B60W2540/223 , B60W2540/225 , B60W2540/229
Abstract: 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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公开(公告)号：US11694317B1
公开(公告)日：2023-07-04
申请号：US17445805
申请日：2021-08-24
Applicant: Samsara Inc.
Inventor： Anubhav Jain , John Bicket , Yu Kang Chen , Arthur Pohsiang Huang , Adam Eric Funkenbusch , Sanjit Zubin Biswas , Benjamin Arthur Calderon , Andrew William Deagon , William Waldman , Noah Paul Gonzales , Ruben Vardanyan , Somasundara Pandian , Ye-Sheng Kuo , Siri Amrit Ramos
CPC classification number: G06T7/0002 , G06T1/0007 , G06T1/0014 , G06V10/44
Abstract: Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
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公开(公告)号：US12168445B1
公开(公告)日：2024-12-17
申请号：US18448760
申请日：2023-08-11
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
Abstract: A vehicle device may 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. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
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公开(公告)号：US11352014B1
公开(公告)日：2022-06-07
申请号：US17454790
申请日：2021-11-12
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
Abstract: 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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公开(公告)号：US11558449B1
公开(公告)日：2023-01-17
申请号：US17451616
申请日：2021-10-20
Applicant: Samsara Inc.
Inventor： John Bicket , Anubhav Jain , James Duffield , James Robert Saunders
IPC: G06F15/167 , H04L67/02 , H04L41/0246 , G06F3/048 , H04L41/28 , H04L41/0806
Abstract: Controller devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload received data and analyses to the remote management server via wired or wireless communications. The controller devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the controller device, provide real-time information from the controller device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
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Patent Agency Ranking
公开(公告)号：US11352013B1
公开(公告)日：2022-06-07
申请号：US17454773
申请日：2021-11-12
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
Abstract: A vehicle device may 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. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
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公开(公告)号：US11184422B1
公开(公告)日：2021-11-23
申请号：US16789911
申请日：2020-02-13
Applicant: Samsara Inc.
Inventor： John Bicket , Anubhav Jain , James Duffield , James Robert Saunders
Abstract: Controller devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload received data and analyses to the remote management server via wired or wireless communications. The controller devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the controller device, provide real-time information from the controller device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
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公开(公告)号：US11127130B1
公开(公告)日：2021-09-21
申请号：US16567616
申请日：2019-09-11
Applicant: Samsara Inc.
Inventor： Anubhav Jain , John Bicket , Yu Kang Chen , Arthur Pohsiang Huang , Adam Eric Funkenbusch , Sanjit Zubin Biswas , Benjamin Arthur Calderon , Andrew William Deagon , William Waldman , Noah Paul Gonzales , Ruben Vardanyan , Somasundara Pandian , Ye-Sheng Kuo , Siri Amrit Ramos
Abstract: Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
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公开(公告)号：US11866055B1
公开(公告)日：2024-01-09
申请号：US17662622
申请日：2022-05-09
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC classification number: B60W40/09 , G06N3/045 , G06N3/082 , G06V40/20 , B60W2400/00
Abstract: 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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公开(公告)号：US11780446B1
公开(公告)日：2023-10-10
申请号：US17661689
申请日：2022-05-02
Applicant: Samsara Inc.
Inventor： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC classification number: B60W40/09 , G06N3/045 , G06T7/73 , G06V20/597
Abstract: A vehicle device may 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. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
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