IMAGE ACQUISITION PLANNING SYSTEMS AND METHODS USED TO GENERATE INFORMATION FOR STRUCTURES OF INTEREST

    公开(公告)号:US20230334851A1

    公开(公告)日:2023-10-19

    申请号:US18138194

    申请日:2023-04-24

    Applicant: Pointivo, Inc.

    CPC classification number: G06V20/176 B64C39/024 G06F30/23 B64U2101/00

    Abstract: The present disclosure relates to improvements in systems and methods in acquiring images via imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

    Image acquisition planning systems and methods used to generate information for structures of interest

    公开(公告)号:US11106911B1

    公开(公告)日:2021-08-31

    申请号:US16440735

    申请日:2019-06-13

    Applicant: Pointivo, Inc.

    Abstract: The present disclosure relates to improvements in systems and methods in acquiring images via a imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

    IN DATA ACQUISTION, PROCESSING, AND OUTPUT GENERATION FOR USE IN ANALYSIS OF ONE OR A COLLECTION OF PHYSICAL ASSETS OF INTEREST

    公开(公告)号:US20200082168A1

    公开(公告)日:2020-03-12

    申请号:US16568104

    申请日:2019-09-11

    Applicant: Pointivo, Inc.

    Abstract: Various examples are provided for data acquisition, processing, and output generation for use in analysis of a physical asset or a collection of physical assets of interest. In one example, a method includes providing a user information goal including user information for acquisition, processing, or output of data associated with a physical asset or collection of physical assets; and evaluating existing database information to determine whether all or part of the first user information goal can be substantially completed by retrieval and processing of an information set obtainable from existing database information. If the user information goal cannot substantially be completed using the information set, then a data acquisition plan configured to acquire data needed to substantially complete first user information goal can be generated. If the user information goal can be substantially completed using the information set, then the formation set can be processed to provide an output.

    SYSTEMS AND METHODS FOR GENERATING OF 3D INFORMATION ON A USER DISPLAY FROM PROCESSING OF SENSOR DATA FOR OBJECTS, COMPONENTS OR FEATURES OF INTEREST IN A SCENE AND USER NAVIGATION THEREON

    公开(公告)号:US20220130145A1

    公开(公告)日:2022-04-28

    申请号:US17567347

    申请日:2022-01-03

    Applicant: Pointivo Inc.

    Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things. The improved display of information to a user for visualization and information generation therefrom provides significant benefits over prior art display methodologies and exhibits notable utility for user activities such as, inspection, condition assessment, performance assessment, insurance applications, construction, inventorying, building information modeling, asset management and the like. Information derivable from the methodologies herein can be used for machine learning libraries and digital twin processes.

    IMPROVEMENTS IN IMAGE ACQUISITION PLANNING SYSTEMS AND METHODS USED TO GENERATE INFORMATION FOR STRUCTURES OF INTEREST

    公开(公告)号:US20240371157A1

    公开(公告)日:2024-11-07

    申请号:US18642299

    申请日:2024-04-22

    Applicant: Pointivo, Inc.

    Abstract: The present disclosure relates to improvements in systems and methods in acquiring images via imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

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