SMART AREA MONITORING WITH ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20190294889A1

    公开(公告)日:2019-09-26

    申请号:US16365581

    申请日:2019-03-26

    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.

    Detecting a tool used on a touch screen

    公开(公告)号:US09996189B2

    公开(公告)日:2018-06-12

    申请号:US15147824

    申请日:2016-05-05

    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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