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    Methods and arrangements for sorting items, useful in recycling
    46.
    发明授权
    Methods and arrangements for sorting items, useful in recycling 有权

    公开(公告)号：US11878327B2

    公开(公告)日：2024-01-23

    申请号：US17470674

    申请日：2021-09-09

    Applicant: Digimarc Corporation

    Inventor： Ravi K Sharma ,  Tomas Filler ,  Vojtech Holub ,  Osama M. Alattar ,  Hugh L. Brunk ,  John D. Lord ,  Geoffrey B. Rhoads ,  William Y. Conwell ,  Ajith M. Kamath

    IPC: B07C5/34 ,  B07C5/342

    CPC classification number: B07C5/3412 ,  B07C5/3422 ,  B07C2501/0045

    Abstract: A plastic item, such as a beverage bottle, can convey two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark may convey a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which may lack data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. In other embodiments the plastic item (or a label thereon) bears only a single watermark. A great number of other features and arrangements are also detailed.

    LASER MARKING OF MACHINE-READABLE CODES
    47.
    发明公开
    LASER MARKING OF MACHINE-READABLE CODES 审中-公开

    公开(公告)号：US20230177297A1

    公开(公告)日：2023-06-08

    申请号：US18077914

    申请日：2022-12-08

    Applicant: Digimarc Corporation

    Inventor： Tomas Filler ,  Vojtech Holub ,  Hugh L. Brunk ,  Adnan M. Alattar ,  William Y. Conwell

    IPC: G06K19/06

    CPC classification number: G06K19/06037

    Abstract: A surface is laser-etched to convey a 2D machine-readable code pattern. Various strategies are detailed to minimize the etching time. Some strategies include modifying the code pattern to reduce a path length traveled by the laser. Some strategies include modifying the code pattern to make it sub-optimal, i.e., making the code pattern a less-faithful approximation of an ideal code pattern. In some embodiments the etched surface is the surface of a plastic container, and the code pattern conveys information indicating the type of plastic of which the container is manufactured. A variety of other features and arrangements are also detailed.

    LEARNING SYSTEMS AND METHODS
    48.
    发明申请
    LEARNING SYSTEMS AND METHODS 有权

    公开(公告)号：US20220270199A1

    公开(公告)日：2022-08-25

    申请号：US17694396

    申请日：2022-03-14

    Applicant: Digimarc Corporation

    Inventor： Tony F. Rodriguez ,  Osama M. Alattar ,  Hugh L. Brunk ,  Joel R. Meyer ,  William Y. Conwell ,  Ajith M. Kamath

    IPC: G06T1/00 ,  G06F21/16 ,  G06K9/62 ,  G06V10/24 ,  G06V20/20

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.

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