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公开(公告)号：US12128919B2
公开(公告)日：2024-10-29
申请号：US18188173
申请日：2023-03-22
申请人： Samsara Inc.
发明人： Mathew Chasan Calmer , Justin Delegard , Justin Pan , Sabrina Shemet , Meelap Shah , Kavya Joshi , Brian Tuan , Sharan Srinivasan , Muhammad Ali Akhtar , John Charles Bicket , Margaret Finch , Vincent Shieh , Bruce Kellerman , Mitch Lin , Marvin Arroz , Siddhartha Datta Roy , Jason Symons , Tina Quach , Cassandra Lee Rommel , Saumya Jain
IPC分类号： G06V20/56 , B60W40/08 , B60W50/14 , G06F3/01 , G06N3/02 , G06T7/70 , G06V10/44 , G06V10/74 , G06V20/40 , G06V20/59 , G07C5/00 , G07C5/08 , H04N19/132 , H04N23/51
CPC分类号： B60W50/14 , B60W40/08 , G06F3/012 , G06N3/02 , G06T7/70 , G06V10/44 , G06V10/761 , G06V20/44 , G06V20/56 , G06V20/597 , G07C5/008 , G07C5/0866 , H04N19/132 , H04N23/51 , B60W2050/143 , B60W2520/105 , B60W2540/229 , G06V2201/07 , G06V2201/10
摘要： 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.
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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
申请人： Samsara Inc.
发明人： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC分类号： G06N3/08 , B60W40/09 , B60W50/14 , G06N7/01 , G06N20/20 , B60W2420/403 , B60W2420/54 , B60W2540/223 , B60W2540/225 , B60W2540/229
摘要： 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：US20230219592A1
公开(公告)日：2023-07-13
申请号：US18188173
申请日：2023-03-22
申请人： Samsara Inc.
发明人： Mathew Chasan Calmer , Justin Delegard , Justin Pan , Sabrina Shemet , Meelap Shah , Kavya Joshi , Brian Tuan , Sharan Srinivasan , Muhammad Ali Akhtar , John Charles Bicket , Margaret Finch , Vincent Shieh , Bruce Kellerman , Mitch Lin , Marvin Arroz , Siddhartha Datta Roy , Jason Symons , Tina Quach , Cassandra Lee Rommel , Saumya Jain
CPC分类号： G06V20/56 , G06V20/44 , G06V20/597 , G06T7/70 , G06V10/44 , G06V10/761 , G06V2201/07
摘要： 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.
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公开(公告)号：US11669714B1
公开(公告)日：2023-06-06
申请号：US17410295
申请日：2021-08-24
申请人： Samsara Inc.
摘要： An improved system and method of determining presence of stop signs at intersection based on multiple types of data including ground truth data, telemetry data, and/or trip stills gathered from vehicle devices. The data may be analyzed and aggregated by one or more models and/or neural networks to develop a prediction regarding presence of stop signs at individual intersections.
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公开(公告)号：US11875683B1
公开(公告)日：2024-01-16
申请号：US18053985
申请日：2022-11-09
申请人： Samsara Inc.
发明人： Evaline Shin-Tin Tsai , Alan Guihong Liu , Ijeoma Emeagwali , Ishaan Kansal , Saleh ElHattab , Bodecker John DellaMaria , Eliott Ray Chapuis , Jason Noah Laska , Jennifer Kao , Sean Kyungmok Bae , Sylvie Lee , Brian Tuan
CPC分类号： G08G1/20 , B60R11/04 , G06N20/00 , G06T7/74 , G06V20/59 , G06V40/173 , B60R2300/8006 , G06T2200/24 , G06T2207/30201 , G06T2207/30268
摘要： Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.
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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
申请人： Samsara Inc.
发明人： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC分类号： B60W40/09 , G06N3/045 , G06N3/082 , G06V40/20 , B60W2400/00
摘要： 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
申请人： Samsara Inc.
发明人： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
CPC分类号： B60W40/09 , G06N3/045 , G06T7/73 , G06V20/597
摘要： 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：US11386325B1
公开(公告)日：2022-07-12
申请号：US17454799
申请日：2021-11-12
申请人： Samsara Inc.
发明人： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
摘要： 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：US12002364B1
公开(公告)日：2024-06-04
申请号：US18130756
申请日：2023-04-04
申请人： Samsara Inc.
发明人： Evaline Shin-Tin Tsai , Alan Guihong Liu , Ijeoma Emeagwali , Ishaan Kansal , Saleh ElHattab , Bodecker John DellaMaria , Eliott Ray Chapuis , Jason Noah Laska , Jennifer Kao , Sean Kyungmok Bae , Sylvie Lee , Brian Tuan
CPC分类号： G08G1/20 , B60R11/04 , G06N20/00 , G06T7/74 , G06V20/59 , G06V40/173 , B60R2300/8006 , G06T2200/24 , G06T2207/30201 , G06T2207/30268
摘要： Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.
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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
申请人： Samsara Inc.
发明人： Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
摘要： 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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