- 专利标题: Refining event triggers using machine learning model feedback
-
申请号: US17661689申请日: 2022-05-02
-
公开(公告)号: US11780446B1公开(公告)日: 2023-10-10
- 发明人: Sharan Srinivasan , Brian Tuan , John Bicket , Jing Wang , Muhammad Ali Akhtar , Abner Ayala Acevedo , Bruce Kellerman , Vincent Shieh
- 申请人: Samsara Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Samsara Inc.
- 当前专利权人: Samsara Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Knobbe, Martens, Olson & Bear LLP
- 主分类号: B60W40/09
- IPC分类号: B60W40/09 ; G06V20/59 ; G06T7/73 ; G06N3/045
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.
信息查询