公开(公告)号：US20210374666A1

公开(公告)日：2021-12-02

申请号：US16885990

申请日：2020-05-28

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Aleksandar Rajak ,  Alexander Miller

IPC: G06Q10/08 ,  G06Q30/06 ,  G06K9/00

Abstract: A method includes: obtaining a task definition including (i) an item identifier, (ii) an original item quantity, and (iii) a normalized item quantity; presenting the normalized item quantity; obtaining an image of a collected item set; deriving collected item data from the image; determining whether the collected item data matches the item identifier and the original item quantity; and generating first output data or second output data according to whether the collected item data matches the item identifier and the original item quantity, or does not match the item identifier and the original item quantity.

公开(公告)号：US11823129B2

公开(公告)日：2023-11-21

申请号：US16885990

申请日：2020-05-28

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Aleksandar Rajak ,  Alexander Miller

IPC: G06Q10/0875 ,  G06Q30/0601 ,  G06V20/20

CPC classification number: G06Q10/0875 ,  G06Q30/0637 ,  G06V20/20

Abstract: A method includes: obtaining a task definition including (i) an item identifier, (ii) an original item quantity, and (iii) a normalized item quantity; presenting the normalized item quantity; obtaining an image of a collected item set; deriving collected item data from the image; determining whether the collected item data matches the item identifier and the original item quantity; and generating first output data or second output data according to whether the collected item data matches the item identifier and the original item quantity, or does not match the item identifier and the original item quantity.

公开(公告)号：US11836940B2

公开(公告)日：2023-12-05

申请号：US16901868

申请日：2020-06-15

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Patrick B. Tilley ,  Ronald Zancola ,  Aleksandar Rajak ,  Kevin Kar Yin Chan ,  Peter Randall Daly ,  Sanjeewa Thimirachandra ,  Raghavendra Tenkasi Shankar ,  Alexander Miller ,  Scott R. Murchison ,  Eliran Noach

IPC: G06T7/593 ,  H04N13/239 ,  G06T7/90

CPC classification number: G06T7/593 ,  G06T7/90 ,  H04N13/239

Abstract: A computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view (FOV); an auxiliary sensor configured to capture reference depth measurements corresponding to a surface within the FOV; a controller connected with the 3D sensor and the auxiliary sensor, the controller configured to: detect a reference depth capture condition; when the reference depth capture condition satisfies a quality criterion, control the auxiliary sensor to capture a reference depth corresponding to the surface within the FOV; and initiate, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture the point cloud data.

公开(公告)号：US20210228148A1

公开(公告)日：2021-07-29

申请号：US16774604

申请日：2020-01-28

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Aleksandar Rajak ,  Alexander Miller

IPC: A61B5/00 ,  G06T7/00

Abstract: A method of lesion monitoring includes: obtaining, at a computing device, image data and depth data depicting a lesion on a patient; detecting, at the computing device, a set of anchor points in at least one of the image data and the depth data; defining a frame of reference according to the anchor points; based on the frame of reference, detecting physical characteristics of the lesion from the image data and the depth data; and presenting the physical characteristics of the lesion.

公开(公告)号：US20210390724A1

公开(公告)日：2021-12-16

申请号：US16901868

申请日：2020-06-15

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Patrick B. Tilley ,  Ronald Zancola ,  Aleksandar Rajak ,  Kevin Kar Yin Chan ,  Peter Randall Daly ,  Sanjeewa Thimirachandra ,  Raghvendra Tenkasi Shankar ,  Alexander Miller ,  Scott R. Murchison ,  Eliran Noach

IPC: G06T7/593 ,  G01B11/22 ,  G01N21/25 ,  G01N21/55 ,  H04N13/239 ,  G06T7/90

Abstract: A computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view (FOV); an auxiliary sensor configured to capture reference depth measurements corresponding to a surface within the FOV; a controller connected with the 3D sensor and the auxiliary sensor, the controller configured to: detect a reference depth capture condition; when the reference depth capture condition satisfies a quality criterion, control the auxiliary sensor to capture a reference depth corresponding to the surface within the FOV; and initiate, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture the point cloud data.