Method and apparatus for license plate recognition using multiple fields of view

    公开(公告)号:US10803340B2

    公开(公告)日:2020-10-13

    申请号:US16213416

    申请日:2018-12-07

    Abstract: A vehicle service system incorporating a set of imaging sensors disposed in an inspection lane through which a vehicle is driven. A first imaging sensor is disposed with a field of view aligned to observe leading surfaces on an approaching vehicle, while a second imaging sensor is disposed with a field of view aligned to observe trailing surfaces of a departing vehicle. A processor is configured with software instructions to capture a set of images from the first imaging sensor as the vehicle approaches, and a set of images from the second imaging sensor as the vehicle departs. The processor evaluates the acquired images from the first and second imaging sensors according to a set of rules to identify images in which a license plate is present on an observed surface of the vehicle, and to extract license plate information from at least one of the identified images.

    Method and Apparatus For License Plate Recognition Using Multiple Fields of View

    公开(公告)号:US20190180132A1

    公开(公告)日:2019-06-13

    申请号:US16213416

    申请日:2018-12-07

    Abstract: A vehicle service system incorporating a set of imaging sensors disposed in an inspection lane through which a vehicle is driven. A first imaging sensor is disposed with a field of view aligned to observe leading surfaces on an approaching vehicle, while a second imaging sensor is disposed with a field of view aligned to observe trailing surfaces of a departing vehicle. A processor is configured with software instructions to capture a set of images from the first imaging sensor as the vehicle approaches, and a set of images from the second imaging sensor as the vehicle departs. The processor evaluates the acquired images from the first and second imaging sensors according to a set of rules to identify images in which a license plate is present on an observed surface of the vehicle, and to extract license plate information from at least one of the identified images.

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