System and method for dimensioning objects

    公开(公告)号:US11473899B2

    公开(公告)日:2022-10-18

    申请号:US16885550

    申请日:2020-05-28

    Abstract: A computing device for dimensioning an object includes: a dimensioning subsystem configured to execute a default dimensioning method and a backup dimensioning method; a memory storing quality evaluation rules; a processor connected with the dimensioning subsystem and the memory, the processor configured to: control the dimensioning subsystem to execute a default dimensioning method to obtain default dimensioning data; compare a quality metric for the default dimensioning data to a threshold condition defined in the quality evaluation rules; when the quality metric exceeds the threshold condition, compute dimensions of the object based on the default dimensioning data; and when the quality metric does not exceed the threshold condition, control the dimensioning subsystem to execute the backup dimensioning method to obtain backup dimensioning data and compute the dimensions of the object based on the backup dimensioning data.

    Method and apparatus for classifying depth scans

    公开(公告)号:US11138748B2

    公开(公告)日:2021-10-05

    申请号:US16136749

    申请日:2018-09-20

    Abstract: A method for classifying depth scan data at a computing device includes: obtaining, at the computing device, a set of depth measurements and a graphical representation of the depth measurements; automatically selecting, at the computing device, a subset of the depth measurements indicating a region of interest; rendering, on a display of the computing device, an image including (i) the graphical representation of the depth measurements and (ii) a graphical indication of the region of interest overlaid on the graphical representation of the depth measurements; receiving, via an input device, a selection associated with the image; and generating a region of interest indicator based on the subset of the depth measurements and the selection.

    METHOD AND APPARATUS FOR CLASSIFYING DEPTH SCANS

    公开(公告)号:US20200098121A1

    公开(公告)日:2020-03-26

    申请号:US16136749

    申请日:2018-09-20

    Abstract: A method for classifying depth scan data at a computing device includes: obtaining, at the computing device, a set of depth measurements and a graphical representation of the depth measurements; automatically selecting, at the computing device, a subset of the depth measurements indicating a region of interest; rendering, on a display of the computing device, an image including (i) the graphical representation of the depth measurements and (ii) a graphical indication of the region of interest overlaid on the graphical representation of the depth measurements; receiving, via an input device, a selection associated with the image; and generating a region of interest indicator based on the subset of the depth measurements and the selection.

    Adaptive Sensor Data Acquisition
    5.
    发明公开

    公开(公告)号:US20240359508A1

    公开(公告)日:2024-10-31

    申请号:US18140727

    申请日:2023-04-28

    CPC classification number: B60C11/246 G01M17/027

    Abstract: A method includes: monitoring sensor data including one or more representations of a treaded surface captured by a device; detecting, based on the sensor data, that the device has traversed a boundary of the treaded surface; in response to detecting that the device has traversed the boundary, determining a scan trigger point within the one or more representations; and generating a profile of the treaded surface from the one or more representations based on the scan trigger point.

    COMPUTING DEVICE AND METHOD OF DETECTING SENSOR OBSTRUCTIONS

    公开(公告)号:US20200302624A1

    公开(公告)日:2020-09-24

    申请号:US16359727

    申请日:2019-03-20

    Abstract: A method of detecting sensor obstructions in a computing device includes: at an emitter, emitting a beam of light through a scan window toward a treaded surface; at an image sensor, for a sequence of positions of the computing device along the treaded surface: capturing a sequence of images corresponding to the sequence of positions, each image in the sequence having a first region and a second region; wherein the first regions depict a first subset of reflections of the beam of light originating from a first depth range; and wherein the second regions depict a second subset of the reflections originating from a second depth range; at a controller: receiving the sequence of images; determining, based on the second regions, whether an intensity of the second subset of the reflections exceeds a occlusion threshold; and when the determination is affirmative, generating an alert indicating obstruction of the scan window.

    System and Method for Dimensioning Objects

    公开(公告)号:US20240377185A1

    公开(公告)日:2024-11-14

    申请号:US18196052

    申请日:2023-05-11

    Abstract: A method for dimensioning a target object includes: obtaining preliminary dimensioning data representing the target object; determining, based on the preliminary dimensioning data, a shape classification for the target object; when the shape classification for the target object is cuboidal, applying a cuboidal dimensioning function to the preliminary dimensioning data to obtain object dimensions; when the shape classification for the target object is non-cuboidal: selecting a non-cuboidal dimensioning function based on a preliminary bounding box of the target object detected in the preliminary dimensioning data; applying the non-cuboidal dimensioning function to obtain the object dimensions.

    Multi-Modal Feedback for Mobile Dimensioning

    公开(公告)号:US20250078233A1

    公开(公告)日:2025-03-06

    申请号:US18243050

    申请日:2023-09-06

    Abstract: A method includes: capturing a three-dimensional image depicting an object; capturing a two-dimensional image depicting the object; determining a region of interest in the two-dimensional image, the region of interest containing the object; determining, based on the region of interest from the two-dimensional image, a quality indicator corresponding to the three-dimensional image; comparing the quality indicator to a predetermined threshold; and when the quality indicator does not satisfy the predetermined threshold, generating a positional notification.

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