Computerized exchange network
    2.
    发明授权

    公开(公告)号:US12148024B2

    公开(公告)日:2024-11-19

    申请号:US18159572

    申请日:2023-01-25

    Inventor: Jason Hauk

    Abstract: A computerized exchange network makes available on the Internet collected information of items under inspection, such as goods, real estate, or the like. In one aspect, the items and collected information, such as images and videos, are added to a virtual showroom or other virtual inspection site that presents an inventory of such goods, real estate, or the like available from multiple sellers and/or locations. In another aspect, detailed objective information about the items is provided. In another aspect, a data structure includes desired criteria for a desired item and provides an alert when an item of interest matches the desired criteria.

    Vehicle imaging and inspection system

    公开(公告)号:US12211092B2

    公开(公告)日:2025-01-28

    申请号:US18407898

    申请日:2024-01-09

    Inventor: Jason Hauk

    Abstract: A front-end image acquisition component acquires photographs and/or videos of the exterior of a vehicle traveling on a path between a first predefined location and a second predefined location. In one aspect, an image acquisition system comprises a first camera support structure, a second camera support structure, an image processor, and a memory. Cameras are affixed to each of the camera support structures for acquiring image data of a subject vehicle. Image data is controlled by the image processor and the memory. In another aspect, an image acquisition system comprises a first camera tower, a second camera tower, a camera boom. Cameras are affixed to each of the camera towers. In another aspect, a method of identifying features of the exterior of a vehicle includes acquiring a series of images from a front-end component, accessing previously acquired images and associated metadata stored in a database, executing machine learning algorithms using the previously acquired information to identify at least one exterior vehicle feature, and executing machine learning algorithms using the presently acquired series of images to identify at least one exterior feature of the vehicle.

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