Patents by Inventor Bruce Kellerman
Bruce Kellerman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11995546Abstract: 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.Type: GrantFiled: July 8, 2022Date of Patent: May 28, 2024Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh
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Patent number: 11866055Abstract: 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.Type: GrantFiled: May 9, 2022Date of Patent: January 9, 2024Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh
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Patent number: 11780446Abstract: 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.Type: GrantFiled: May 2, 2022Date of Patent: October 10, 2023Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh
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Publication number: 20230219592Abstract: 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.Type: ApplicationFiled: March 22, 2023Publication date: July 13, 2023Inventors: 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
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Patent number: 11643102Abstract: 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.Type: GrantFiled: September 14, 2021Date of Patent: May 9, 2023Assignee: Samsara Inc.Inventors: 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
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Patent number: 11386325Abstract: 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.Type: GrantFiled: November 12, 2021Date of Patent: July 12, 2022Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh
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Patent number: 11352014Abstract: 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.Type: GrantFiled: November 12, 2021Date of Patent: June 7, 2022Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh
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Patent number: 11352013Abstract: 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.Type: GrantFiled: November 12, 2021Date of Patent: June 7, 2022Assignee: Samsara Inc.Inventors: Sharan Srinivasan, Brian Tuan, John Bicket, Jing Wang, Muhammad Ali Akhtar, Abner Ayala Acevedo, Bruce Kellerman, Vincent Shieh