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公开(公告)号：US20190034735A1
公开(公告)日：2019-01-31
申请号：US15659198
申请日：2017-07-25
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Paul McAlpine
Abstract: An object detection device including at least one image capture element can capture image data for a region of interest and detect types of objects located in that region. Information such as the coordinates of the objects and descriptors for the objects can be transmitted, along with timestamp data, in order to allow those objects to be counted, tracked, or otherwise monitored by a separate system without transmitting the image data or potentially sensitive data regarding the objects. The data from multiple devices for the region can be aggregated such that objects can be tracked as the objects switch between different fields of view of different devices, based on the location and descriptor data. Information about the presence, location, or movement of certain types of action can then be used to trigger specific actions, such as to allocate resources or generated alarms based thereon.
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公开(公告)号：US20180259960A1
公开(公告)日：2018-09-13
申请号：US15973152
申请日：2018-05-07
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Jeffrey Orion Pritchard
CPC classification number: G05D1/0202 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64D47/08 , G05D1/104 , G06K9/0063 , G06K9/00778 , G06K9/52 , H04N5/232 , H04N7/181 , H04N7/185
Abstract: An unmanned aerial vehicle (UAV) can include one or more cameras for capturing image data within a field of view that depends in part upon the location and orientation of the UAV. At least a portion of the image data can be processed on the UAV to locate objects of interest, such as people or cars, and use that information to determine where to fly the drone in order to capture higher quality image data of those or other such objects. Once identified, the objects of interest can be counted, and the density, movement, location, and behavior of those objects identified. This can help to determine occurrences such as traffic congestion or unusual patterns of pedestrian movement, as well as to locate persons, fires, or other such objects. The data can also be analyzed by a remote system or service that has additional resources to provide more accurate results.
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公开(公告)号：USD875167S1
公开(公告)日：2020-02-11
申请号：US29605507
申请日：2017-05-26
Applicant: Motionloft, Inc.
Designer： Mark Cuban , Joyce Reitman , Paul McAlpine
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公开(公告)号：US20190205659A1
公开(公告)日：2019-07-04
申请号：US15862037
申请日：2018-01-04
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Paul McAlpine
Abstract: An object detection device including at least one image capture element can capture image data in a field of view and detect types of objects located in that region. Information such as a direction of travel or speed of the object may be used to determine a relative position of the object of interest, for example relative to the object detection device or a target object. The data from multiple devices for a region can be aggregated such that objects can be tracked as they move though the region. Information about the relative position of the object of interest can be used to trigger alerts to users in the area.
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Patent Agency Ranking
公开(公告)号：US10599929B2
公开(公告)日：2020-03-24
申请号：US15862037
申请日：2018-01-04
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Paul McAlpine
Abstract: An object detection device including at least one image capture element can capture image data in a field of view and detect types of objects located in that region. Information such as a direction of travel or speed of the object may be used to determine a relative position of the object of interest, for example relative to the object detection device or a target object. The data from multiple devices for a region can be aggregated such that objects can be tracked as they move though the region. Information about the relative position of the object of interest can be used to trigger alerts to users in the area.
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公开(公告)号：US09989965B2
公开(公告)日：2018-06-05
申请号：US14831739
申请日：2015-08-20
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Jeffrey Orion Pritchard
CPC classification number: G05D1/0202 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64D47/08 , G05D1/104 , G06K9/0063 , G06K9/00778 , G06K9/52 , H04N5/232 , H04N7/181 , H04N7/185
Abstract: An unmanned aerial vehicle (UAV) can include one or more cameras for capturing image data within a field of view that depends in part upon the location and orientation of the UAV. At least a portion of the image data can be processed on the UAV to locate objects of interest, such as people or cars, and use that information to determine where to fly the drone in order to capture higher quality image data of those or other such objects. Once identified, the objects of interest can be counted, and the density, movement, location, and behavior of those objects identified. This can help to determine occurrences such as traffic congestion or unusual patterns of pedestrian movement, as well as to locate persons, fires, or other such objects. The data can also be analyzed by a remote system or service that has additional resources to provide more accurate results.
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公开(公告)号：US20190122082A1
公开(公告)日：2019-04-25
申请号：US15790908
申请日：2017-10-23
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Paul McAlpine
Abstract: An intelligent content display system includes an electronic display and one or more image sensors having a field of view. The image sensors generate image data representing a scene within the field of view. One or more conditions can be determined from the image data, such as types of objects present in the scene, including people, vehicles, among others. Such detected conditions may be used to determine what content to display on the electronic display in order to optimize the display. A model may be trained using training data to make such as a determination based on the present detected condition. The training data may include historical data which may include various performance measure values and the associated display content associated with certain types of detected objects.
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公开(公告)号：US20190035104A1
公开(公告)日：2019-01-31
申请号：US15659239
申请日：2017-07-25
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Paul McAlpine
Abstract: An object detection system can utilize multiple detection devices, each including at least one image capture element that can capture image data for a region of interest and detect types of objects located in that region. Information such as the coordinates of the objects and descriptors for the objects can be transmitted, along with timestamp data, in order to allow those objects to be counted, tracked, or otherwise monitored by a separate system without transmitting the image data or potentially sensitive data regarding the objects. The data from multiple devices for the region can be aggregated such that objects can be tracked as the objects switch between different fields of view of different devices, based on the location and descriptor data. Information about the presence, location, or movement of certain types of actions can be used to trigger specific actions, such as to allocate resources or generated alarms based thereon.
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公开(公告)号：US20170053169A1
公开(公告)日：2017-02-23
申请号：US14831739
申请日：2015-08-20
Applicant: Motionloft, Inc.
Inventor： Mark Cuban , Joyce Reitman , Jeffrey Orion Pritchard
CPC classification number: G05D1/0202 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64D47/08 , G05D1/104 , G06K9/0063 , G06K9/00778 , G06K9/52 , H04N5/232 , H04N7/181 , H04N7/185
Abstract: An unmanned aerial vehicle (UAV) can include one or more cameras for capturing image data within a field of view that depends in part upon the location and orientation of the UAV. At least a portion of the image data can be processed on the UAV to locate objects of interest, such as people or cars, and use that information to determine where to fly the drone in order to capture higher quality image data of those or other such objects. Once identified, the objects of interest can be counted, and the density, movement, location, and behavior of those objects identified. This can help to determine occurrences such as traffic congestion or unusual patterns of pedestrian movement, as well as to locate persons, fires, or other such objects. The data can also be analyzed by a remote system or service that has additional resources to provide more accurate results.
Abstract translation: 无人驾驶飞行器（UAV）可以包括一个或多个相机，用于在视野范围内捕获图像数据，部分取决于UAV的位置和方位。 可以在UAV上处理图像数据的至少一部分以定位诸如人或汽车的感兴趣对象，并且使用该信息来确定飞行无人机的位置，以便捕获那些或其他这样的或更高质量的图像数据 对象 一旦识别出来，就可以对感兴趣的物体进行计数，并确定这些物体的密度，运动，位置和行为。 这可以帮助确定诸如交通拥堵或不寻常的行人运动模式之类的事件，以及定位人员，火灾或其他此类物体。 数据还可以由具有额外资源的远程系统或服务进行分析，以提供更准确的结果。
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