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1.
公开(公告)号:US11443555B2
公开(公告)日:2022-09-13
申请号:US16896431
申请日:2020-06-09
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06K9/00 , G06K9/62 , G06K9/20 , G06K9/32 , G06T7/73 , G06T7/70 , G06V40/20 , G06T7/246 , G06T7/292 , H04N5/247 , G06V10/147 , G06V10/20 , G06V20/52 , G06V20/54 , G06V20/58 , G06V20/62
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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公开(公告)号:US20190294889A1
公开(公告)日:2019-09-26
申请号:US16365581
申请日:2019-03-26
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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公开(公告)号:US11182598B2
公开(公告)日:2021-11-23
申请号:US16365581
申请日:2019-03-26
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06K9/00 , H04N5/247 , G06T7/292 , G06T7/70 , G06T7/246 , G06T7/73 , G06K9/62 , G06K9/20 , G06K9/32
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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4.
公开(公告)号:US20200302161A1
公开(公告)日:2020-09-24
申请号:US16896431
申请日:2020-06-09
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06K9/00 , G06T7/246 , G06T7/73 , G06T7/292 , G06T7/70 , H04N5/247 , G06K9/62 , G06K9/20 , G06K9/32
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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5.
公开(公告)号:US20240233387A1
公开(公告)日:2024-07-11
申请号:US18612058
申请日:2024-03-21
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06V20/54 , G06F18/231 , G06F18/2413 , G06T7/246 , G06T7/292 , G06T7/70 , G06T7/73 , G06V10/147 , G06V10/20 , G06V10/25 , G06V10/762 , G06V10/764 , G06V10/82 , G06V20/52 , G06V20/58 , G06V20/62 , G06V40/20 , H04N23/90
CPC classification number: G06V20/54 , G06F18/231 , G06F18/24143 , G06T7/246 , G06T7/292 , G06T7/70 , G06T7/73 , G06V10/147 , G06V10/25 , G06V10/255 , G06V10/7625 , G06V10/764 , G06V10/82 , G06V20/52 , G06V20/584 , G06V40/20 , H04N23/90 , G06T2207/10016 , G06T2207/20081 , G06T2207/30201 , G06T2207/30232 , G06T2207/30241 , G06T2207/30264 , G06V20/625 , G06V2201/08
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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6.
公开(公告)号:US11941887B2
公开(公告)日:2024-03-26
申请号:US17943489
申请日:2022-09-13
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06V40/20 , G06F18/231 , G06F18/2413 , G06T7/246 , G06T7/292 , G06T7/70 , G06T7/73 , G06V10/147 , G06V10/20 , G06V10/25 , G06V10/762 , G06V10/764 , G06V10/82 , G06V20/52 , G06V20/54 , G06V20/58 , H04N5/247 , H04N23/90 , G06V20/62
CPC classification number: G06V20/54 , G06F18/231 , G06F18/24143 , G06T7/246 , G06T7/292 , G06T7/70 , G06T7/73 , G06V10/147 , G06V10/25 , G06V10/255 , G06V10/7625 , G06V10/764 , G06V10/82 , G06V20/52 , G06V20/584 , G06V40/20 , H04N23/90 , G06T2207/10016 , G06T2207/20081 , G06T2207/30201 , G06T2207/30232 , G06T2207/30241 , G06T2207/30264 , G06V20/625 , G06V2201/08
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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7.
公开(公告)号:US20230016568A1
公开(公告)日:2023-01-19
申请号:US17943489
申请日:2022-09-13
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Ratnesh Kumar , Farzin Aghdasi , Arman Toorians , Milind Naphade , Sujit Biswas , Vinay Kolar , Bhanu Pisupati , Aaron Bartholomew
IPC: G06V40/20 , G06T7/70 , H04N5/247 , G06T7/246 , G06V10/147 , G06V20/52 , G06V10/20 , G06T7/292 , G06T7/73 , G06K9/62 , G06V20/58 , G06V20/54 , G06V20/62
Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.
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公开(公告)号:US09996189B2
公开(公告)日:2018-06-12
申请号:US15147824
申请日:2016-05-05
Applicant: NVIDIA Corporation
Inventor: Ilkka Varje , Kirill Artamonov , Aaron Bartholomew
CPC classification number: G06F3/0416 , G06F3/0414 , G06F3/044 , G06F2203/04108
Abstract: Detecting a tool used on a touch screen. In accordance with a method embodiment of the present invention, a cell value is accessed for each cell of a touch sensing device. The cell value indicates a force applied to the cell. A touch area sample count is determined as a count of how many of the cells have a cell value above a noise floor. A touch area weight is determined as a sum of all cell values for the cells having a cell value above the noise floor. An object touching the touch sensing device is identified based on the touch area sample count and the touch area weight. The object's touch indication may be rejected if the object is not identified. The identity of the object may be reported to a software application.
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