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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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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：US20220261567A1
公开(公告)日：2022-08-18
申请号：US17692492
申请日：2022-03-11
Applicant: Digimarc Corporation
Inventor： 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 , Brian T. MacIntosh
IPC: G06K7/10 , G06Q10/08 , G06Q20/20 , G06Q30/00 , G06V10/10 , G06V10/147 , G06V20/20 , G06V30/224 , G07G1/00 , G06K7/14
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：US20210192162A1
公开(公告)日：2021-06-24
申请号：US17142928
申请日：2021-01-06
Applicant: Digimarc Corporation
Inventor： 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 , Brian T. MacIntosh
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. 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：US11288472B2
公开(公告)日：2022-03-29
申请号：US17142928
申请日：2021-01-06
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , John F. Stach , Marc G. Footen
IPC: G06K9/00 , G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q10/08 , G06Q20/20 , G06Q30/00 , G07G1/00 , G06F3/147 , G06K9/46 , G06Q30/06
Abstract: In one aspect, a retail store has multiple sensors, including item sensors in a shopping cart for gathering data from a shopper-selected first item. At least certain of the sensor data is provided to a classifier, which was previously-trained (using data including optical data from known items) to identify possible item matches corresponding to data sensed from the first item. An item identification hypothesis that the shopper-selected first item has a particular identity is evaluated based on (a) information from the classifier, and (b) store layout data indicating items associated with a store location visited by the cart or shopper. The item identification hypothesis has a confidence score. If the score meets a criterion, an item of the hypothesized identity is added to a shopping tally. A great number of other features and arrangements are also detailed.
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Patent Agency Ranking
公开(公告)号：US20190188435A1
公开(公告)日：2019-06-20
申请号：US16277652
申请日：2019-02-15
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 Calhoon
IPC: G06K7/10 , G06Q10/08 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00
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: A variety of technologies having practical application in retail stores are detailed. One is an improved method of identifying items selected by customers. This method includes receiving sensor data from plural sensors, including (a) ceiling-mounted cameras that monitor tracks of customers through aisles of the store, and (b) inventory sensors that are positioned to monitor removal of stock from store shelves. This received sensor data is employed in evaluating plural alternate item identification hypotheses. These hypotheses include a first hypothesis that a customer selected an item having a first identity, and a second hypothesis that the customer selected an item having a second identity. A confidence score is associated with each of the first and second item selection hypotheses. These confidence scores are refined as sensor data is received, e.g., increasing a confidence score of one hypothesis, and reducing a confidence score of another. Such refining continues until one of the hypotheses becomes a winner, due to an associated confidence score fulfilling a predetermined criterion (e.g., reaching a threshold value), at which time the item can be added to a tally for that individual. The winning item identification hypothesis may identify a barcoded item, without that item's barcode ever having been read by a barcode reader. A great number of other features and arrangements are also detailed.
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公开(公告)号：US20210157998A1
公开(公告)日：2021-05-27
申请号：US17150801
申请日：2021-01-15
Applicant: Digimarc Corporation
Inventor： 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 , Brian T. MacIntosh
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. 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：US20200380226A1
公开(公告)日：2020-12-03
申请号：US16893856
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： 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 , Brian T. MacIntosh
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. 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：US20200372228A1
公开(公告)日：2020-11-26
申请号：US16893834
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： 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 , Brian T. MacIntosh
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. 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：US20210004550A9
公开(公告)日：2021-01-07
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
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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