公开(公告)号：US12128919B2

公开(公告)日：2024-10-29

申请号：US18188173

申请日：2023-03-22

Applicant: Samsara Inc.

Inventor： 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: 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 classification number: 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

Abstract: 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.

公开(公告)号：US11643102B1

公开(公告)日：2023-05-09

申请号：US17475114

申请日：2021-09-14

Applicant: Samsara Inc.

Inventor： 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: G07C5/08 ,  B60W50/14 ,  B60W40/08 ,  G07C5/00 ,  G06F3/01 ,  H04N5/225 ,  H04N19/132 ,  G06N3/02 ,  G06V20/56 ,  G06V20/59

CPC classification number: B60W50/14 ,  B60W40/08 ,  G06F3/012 ,  G06N3/02 ,  G06V20/56 ,  G06V20/597 ,  G07C5/008 ,  G07C5/0866 ,  H04N5/2252 ,  H04N19/132 ,  B60W2050/143 ,  B60W2520/105 ,  B60W2540/229 ,  G06V2201/10

Abstract: 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.

公开(公告)号：US20250002033A1

公开(公告)日：2025-01-02

申请号：US18883478

申请日：2024-09-12

Applicant: Samsara Inc.

Inventor： 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: B60W50/14 ,  B60W40/08 ,  G06F3/01 ,  G06N3/02 ,  G06T7/70 ,  G06V10/44 ,  G06V10/74 ,  G06V20/40 ,  G06V20/56 ,  G06V20/59 ,  G07C5/00 ,  G07C5/08 ,  H04N19/132 ,  H04N23/51

Abstract: 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.

公开(公告)号：US20230219592A1

公开(公告)日：2023-07-13

申请号：US18188173

申请日：2023-03-22

Applicant: Samsara Inc.

Inventor： 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: G06V20/56 ,  G06V20/40 ,  G06V20/59 ,  G06T7/70 ,  G06V10/44 ,  G06V10/74

CPC classification number: G06V20/56 ,  G06V20/44 ,  G06V20/597 ,  G06T7/70 ,  G06V10/44 ,  G06V10/761 ,  G06V2201/07

Abstract: 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.