Weigh platter assembly with parallax based off-platter detection

    公开(公告)号:US12146782B2

    公开(公告)日:2024-11-19

    申请号:US18233494

    申请日:2023-08-14

    Abstract: A weigh platter assembly includes a weigh platter and an off-platter detection assembly having a light emission assembly, a light detection assembly, and a controller. The light emission assembly has a light source to emit a light along a lateral edge of the weigh platter. The light detection assembly detects at least a portion of the light reflected from an object extending across the light beam and includes a sensor offset from the light source and an aperture positioned in front of the sensor and configured to limit a field of view of the sensor along the lateral edge. The controller is configured to provide a first signal in response to a first value received from the sensor and to provide a second signal, different from the first signal, in response to a second value.

    Weight check for verification of ticket switching

    公开(公告)号:US12141775B2

    公开(公告)日:2024-11-12

    申请号:US17877488

    申请日:2022-07-29

    Abstract: Techniques for weight checking for verification of ticket switching are disclosed herein. An example system includes: a weighing scale; cameras configured to capture images of items passing through a product scanning region and images of barcodes affixed to the items; a processor; and a memory storing instructions that cause the one or more processors to determine a first identification of an item based on the image of the barcode; determine a second identification of the item based on the image of the item; compare the first identification to the second identification to determine whether the two identifications match; based on determining that the two identifications do not match, generate a request for the user to place the item on the weighing scale; determine that the weight of the item does not match a first weight associated with the first identification of the item; and trigger one or more mitigation actions.

    Systems and Methods for Multiple Indicia Decoding

    公开(公告)号:US20240362442A1

    公开(公告)日:2024-10-31

    申请号:US18140575

    申请日:2023-04-27

    Abstract: Systems and methods for decoding multiple indicia are provided. An example includes an indicia reading device comprising an imaging assembly configured to capture 2D image data of an environment appearing in a first FOV, the first FOV directed at a product scanning region; a depth sensor assembly including at least one depth sensor, wherein the at least one depth senor is configured to capture 3D image data of an environment appearing in a second FOV, the second FOV at least partially overlapping the first FOV; a controller, having at least a processor and a memory, communicably coupled to the imaging assembly and depth sensor assembly. The memory stores computer-readable instructions which when executed by the processor causes the controller to take the following actions: analyze the 2D image data to identify a quantity of indicia present in the 2D image data; analyze the 3D image data to identify a quantity of items present in the 3D image data; and, responsive to the quantity of the indicia present in the 2D image data being equal to or greater than the quantity of items present in the 3D image data, transmit payload data of at least some of the indicia present in the 2D image data to a host.

    Indicia Tracking and Decoding Systems
    165.
    发明公开

    公开(公告)号:US20240362438A1

    公开(公告)日:2024-10-31

    申请号:US18140587

    申请日:2023-04-27

    Abstract: The present disclosure provides new and innovative systems, methods, and apparatuses for detecting non-decode events in indicia scanning settings. In an example, a system comprises a depth imaging assembly, a 2D imaging assembly, and a processing device, wherein the processing device is configured to attempt to decode an indicium affixed to a first item that is passing through at least one of a field of view of the 2D imaging assembly or a field of view of the depth imaging assembly, determine a first characteristic associated with the first item based on depth data from the depth imaging array, and responsive to a failed attempt to decode the indicium, detect a second item that is passing through the field of view of the 2D imaging assembly and the field of view of the depth imaging assembly, determine a second characteristic associated with the second item based on depth data from the depth imaging assembly, determine if the first item is a same item as the second item based on comparing the first characteristic and the second characteristic, and responsive to determining that the first item and the second item are not the same item, transmit a message to an alert module that is indicative of a non-decode event.

    Bioptic barcode reader with rotated field-of-view

    公开(公告)号:US12118426B1

    公开(公告)日:2024-10-15

    申请号:US18375329

    申请日:2023-09-29

    CPC classification number: G06K7/10831 G06K7/1096

    Abstract: An example bioptic barcode reader includes a housing having a lower housing portion with an upper surface facing a product scanning region, an upper housing portion extending above the lower housing portion, a generally horizontal window positioned at the upper surface, a generally upright window positioned in the upper housing portion, an imaging assembly with a primary field-of-view (FOV), and a first mirror configured to redirect a first portion of the primary FOV towards the upper housing portion. An optical element arrangement is configured to rotate a second portion of the primary FOV by 90 degrees about a central axis of the second portion of the primary FOV.

    DETECTION OF BARCODE MISPLACEMENT BASED ON REPETITIVE PRODUCT DETECTION

    公开(公告)号:US20240289763A1

    公开(公告)日:2024-08-29

    申请号:US18114925

    申请日:2023-02-27

    CPC classification number: G06Q20/208

    Abstract: Techniques for product scanning are provided herein. The techniques may include analyzing a first set of images of items passing through a product scanning region of a indicia reader to decode a first indicia associated with a first item; analyzing the first set of images to determine first parameters related to characteristics of the first item; storing the first parameters locally on a memory associated with the indicia reader; analyzing a second set of images of items passing through the product scanning region to decode a second indicia associated with a second item in the second set of images; analyzing the second set of images to determine second parameters related to characteristics of the second item, and, in response to the decoded first and second indicia being the same, comparing the first and second parameters, and generating an alert based on a difference between the first and second parameters.

    Bioptic barcode reader and carrier assembly for a bioptic barcode reader

    公开(公告)号:US12056567B2

    公开(公告)日:2024-08-06

    申请号:US17333283

    申请日:2021-05-28

    CPC classification number: G06K7/10554 G06K7/10831 G06K7/1413

    Abstract: Bioptic barcode readers are disclosed herein. An example bioptic barcode reader includes an upper housing and a lower housing secured directly to the upper housing, the lower housing and the upper housing defining an interior region. The upper housing includes a horizontally extending portion, an integral and unitary tower portion extending above the horizontally extending portion, a generally horizontal window positioned in the horizontally extending portion, and a generally upright window positioned in the tower portion. An imaging sensor, at least one intermediate mirror, at least one vertical output mirror, and at least one horizontal output mirror are positioned within the interior region.

    MULTIPLE FIELD OF VIEW (FOV) VISION SYSTEM
    170.
    发明公开

    公开(公告)号:US20240211712A1

    公开(公告)日:2024-06-27

    申请号:US18088771

    申请日:2022-12-26

    Abstract: Multiple field of view (FOV) systems are disclosed herein. An example system includes a bioptic barcode reader having a target imaging region. The bioptic barcode reader includes at least one imager having a first FOV and a second FOV and is configured to capture an image of a target object from each FOV. The example system includes one or more processors configured to receive the images and a trained object recognition model stored in memory communicatively coupled to the one or more processors. The memory includes instructions that, when executed, cause the one or more processors to analyze the images to identify at least a portion of a barcode and one or more features associated with the target object. The instructions further cause the one or more processors to determine a target object identification probability and to determine whether a predicted product identifies the target object.

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