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公开(公告)号：US11875206B2
公开(公告)日：2024-01-16
申请号：US17867386
申请日：2022-07-18
Applicant: Digimarc Corporation
Inventor： Eric D. Evans , Christopher M. Haverkate , Mark-Andrew Ray Tait
CPC classification number: G06K19/06065 , G06K7/1417 , G06K7/1486 , G06K19/06037 , G06K19/06075
Abstract: In an illustrative system, a point-of-sale scanner is equipped to respond to multiple different symbologies printed on a single product. The scanner captures many frames per second, as products are swiped through a viewing volume. Each frame is decoded, yielding one or more payloads. A reconciliation module compares each newly-decoded payload against a list of payloads previously output by the module, to determine if the current payload is semantically-equivalent to a previously-output payload. If so, the previously-output payload is output again, in lieu of the just-decoded payload. If no equivalent is found, the current payload is output and added to the list for comparison against future payloads. A great number of other features and arrangements are also detailed.
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公开(公告)号：US11636565B1
公开(公告)日：2023-04-25
申请号：US16937514
申请日：2020-07-23
Applicant: Digimarc Corporation
Inventor： Eric D. Evans , Arthur L. Powell , Becky G. Kiichle-Gross , Geoffrey B. Rhoads , Philip J. Stafford , Utkarsh Deshmukh
IPC: G06T1/00 , G06Q30/00 , G06K7/14 , G06T7/73 , G06Q30/018
Abstract: Authenticity of a sticker (e.g., a mark-down sticker on a retail item), or integrity of a closure (e.g., on a delivery bag or package), is confirmed by reference to spatial information. In some embodiments a fingerprint is formed from parameters describing spatial placement of a sticker or pattern on a substrate. In some embodiments a digital watermark pattern provides a spatial frame of reference within which one or more other features can be located. A great many other features and arrangements are also detailed.
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公开(公告)号：US11281876B2
公开(公告)日：2022-03-22
申请号：US17150801
申请日：2021-01-15
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , Eric D. Evans , Rebecca L. Gerlach , John F. Stach , Tomas Filler
IPC: G06K9/00 , G06K7/10 , G06K7/14 , G06Q10/08 , G06Q20/20 , G06Q30/00 , G07G1/00 , G06V10/10 , G06V10/147 , G06V20/20 , G06V30/224 , G06F3/147 , G06Q30/06 , G06V10/40
Abstract: In one aspect, a retail store includes a multitude of cameras, including a plurality of 3D cameras, and a plurality of other cameras. Certain of the cameras provide imagery from which a shopper's track through the store is monitored, and certain of the cameras are positioned to detect removal of items from store shelves. The store also includes a computer system that provides a database of information about store layout, indicating stock locations of different items. The computer system receives imagery from the cameras (or information derived from such imagery) and uses this data, together with information from the database and information derived from other sensors in the store, to produce a probabilistic tally of items selected by a store shopper. This tally includes an item bearing a barcode, but is produced without reading the barcode. Each item on the tally is associated with a confidence score that meets a computer system-determined threshold. A great number of other features and arrangements are also detailed.
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公开(公告)号：US10963657B2
公开(公告)日：2021-03-30
申请号：US16893856
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , Eric D. Evans , Rebecca L. Gerlach , Tomas Filler
IPC: G06K9/00 , G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06Q10/08 , G06Q30/06 , G06K9/46 , G06F3/147
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20200279084A1
公开(公告)日：2020-09-03
申请号：US16821953
申请日：2020-03-17
Applicant: Digimarc Corporation
Inventor： Bruce L. Davis , Tony F. Rodriguez , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean C. Calhoon
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. A great variety of other features and arrangements are also detailed.
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Patent Agency Ranking
公开(公告)号：US10182170B1
公开(公告)日：2019-01-15
申请号：US15424013
申请日：2017-02-03
Applicant: Digimarc Corporation
Inventor： Eric D. Evans
IPC: G06K9/00 , H04N1/32 , G06T1/00 , G06T5/00 , G06T3/40 , G06K9/46 , G06Q20/20 , G06K7/10 , G06K7/14
Abstract: Imagery captured by a point-of-sale scanner (e.g., in a supermarket) for purposes of barcode decoding, is contrast-enhanced preparatory to use for watermark decoding—despite the fact that such operation may sometimes result in contrast between certain pixels being diminished. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20170249491A1
公开(公告)日：2017-08-31
申请号：US15462597
申请日：2017-03-17
Applicant: Digimarc Corporation
Inventor： Brian T. MacIntosh , Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell
CPC classification number: G06K7/10861 , G06F3/147 , G06K7/1456 , G06K9/00671 , G06K9/18 , G06K9/209 , G06K9/46 , G06K9/78 , G06Q10/08 , G06Q10/087 , G06Q20/201 , G06Q20/208 , G06Q30/00 , G06Q30/0601 , G06T2201/0065 , G07G1/0045
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20160364623A1
公开(公告)日：2016-12-15
申请号：US15176498
申请日：2016-06-08
Applicant: Digimarc Corporation
Inventor： Eric D. Evans , Tomas Filler
CPC classification number: G06K7/10722 , G06K7/146 , G06K9/00 , G06K9/18 , G06K9/36 , G06K9/4676 , G06K9/6262 , G06K2009/363 , G06T3/00 , G06T5/002 , G06T2207/20081
Abstract: Object recognition by point-of-sale camera systems is aided by first removing perspective distortion. Yet pose of the object—relative to the system—depends on actions of the operator, and is usually unknown. Multiple trial counter-distortions to remove perspective distortion can be attempted, but the number of such trials is limited by the frame rate of the camera system—which limits the available processing interval. One embodiment of the present technology examines historical image data to determine counter-distortions that statistically yield best object recognition results. Similarly, the system can analyze historical data to learn what sub-parts of captured imagery most likely enable object recognition. A set-cover strategy is desirably used. In some arrangements, the system identifies different counter-distortions, and image sub-parts, that work best with different clerk- and customer-operators of the system, and processes captured imagery accordingly. A great variety of other features and arrangements are also detailed.
Abstract translation: 通过首先去除透视失真来辅助销售点相机系统的对象识别。 然而，相对于系统的对象的姿态取决于操作者的动作，并且通常是未知的。 可以尝试多次尝试逆变形以去除透视失真，但是这样的试验的数量受到相机系统的帧速率的限制，这限制了可用的处理间隔。 本技术的一个实施例检查历史图像数据以确定统计学上产生最佳对象识别结果的逆变形。 类似地，系统可以分析历史数据，以了解捕获图像的哪些子部分最有可能实现对象识别。 期望使用套套策略。 在某些安排中，系统会识别与系统的不同职员和客户操作员最为合适的不同逆变形和图像子部件，并相应地处理捕获的图像。 还详细介绍了各种各样的其他功能和安排。
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公开(公告)号：US20250063154A1
公开(公告)日：2025-02-20
申请号：US18754004
申请日：2024-06-25
Applicant: Digimarc Corporation
Inventor： Scott M. Long , Christopher M. Haverkate , Eric D. Evans
Abstract: In computer vision systems that need to decode machine-readable indicia from captured imagery, it is critical to select imaging parameters (e.g., exposure interval, exposure aperture, camera gain, intensity and duration of supplemental illumination) that best allow detection of subtle features from imagery. In illustrative embodiments, a Shannon entropy metric or a KL divergence metric is used to guide selection of an optimal set of imaging parameters. In accordance with other aspects of the technology, different strategies identify which spatial locations within captured imagery should be successively examined for machine readable indicia, in order to have a greatest likelihood of success, within a smallest interval of time. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20240412188A1
公开(公告)日：2024-12-12
申请号：US18639588
申请日：2024-04-18
Applicant: Digimarc Corporation
Inventor： Vojtech Holub , Tomas Filler , Eric D. Evans , Alexander Hull , Ethan Lyons , Daniel J. Stotts , Christopher M. Haverkate , Nicholas Anderson , Dimitris Chachlakis
Abstract: A retail checkout system decodes machine-readable indicia from a composite image frame produced from a sequence of captured image frames. Different regions in the composite image are derived from different ones of the image frames in the captured sequence. Another embodiment generates a composite image frame from image frames captured with different camera focus settings. Still other embodiments concern neural networks, including their training to segment different items presented on a retail checkout surface. Other neural network embodiments discern on which of two items a machine readable indicia appears, when the visual context is ambiguous. A variety of other features and arrangements are also detailed.
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