Digimarc Corporation

Vojtech Holub

Tomas Filler

Ravi K Sharma

Hugh L Brunk

Brett Alan Bradley

Osama M Alattar

Vahid Sedighianaraki

Trent J Brundage

Kristyn R Falkenstern

Yang Bai

Ajith Mulki Kamath

Donald Haaga

Tony F Rodriguez

Alastair M Reed

John Douglas Lord

Adnan M Alattar

William Y Conwell

Scott M Long

Geoffrey B Rhoads

John F Stach

Shankar Thagadur Shivappa

Robert G Lyons

Aparna R Gurijala

Eric D Evans

Matthew M Weaver

Joel R Meyer

Emma C Sinclair

David A Cushman

Tomas Denemark

Jeffery B Schulte

Thomas P Carrier

Jeffrey B Schulte

Hugh L Brunk Brunk

A thermoplastic resin is molded to define a container bearing a surface 2D code signal, such as a digital watermark pattern. In some arrangements, the mold dimensions are tailored, and process parameters are selected, so that an indentation in the mold gives rise to a corresponding indentation—rather than a corresponding protrusion—in the shaped plastic. In other arrangements, a metal mold is provided with a patterned resin on its surface to define the 2D code signal. The resin may take the form of a rigid or non-rigid insert that can be removed or re-worked to change the code signal without changing the metal mold. A variety of other improvements and arrangements are also detailed.

Signaling arrangements employing molded thermoplastics

A plastic item, such as a beverage bottle, conveys 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 conveys 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 lacks the 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. A great number of other features and arrangements are also detailed.

Recycling methods and systems, and related plastic containers

Consumer product labels sometime include 2D machine readable codes, such as digital watermark patterns. When such label artwork is printed on a plastic sleeve that is then heat-shrunk to conform to a plastic container, the code can become distorted and unreadable. Various techniques are detailed to cope with this problem. Additionally, methods are disclosed to assess—before a heat-shrink label is applied to a product—the expected final readability of any machine readable code included in the label artwork. A variety of other features and arrangements are also detailed.

Pre-press warping arrangements for watermarks and associated graphic artworks, with related quality control techniques

A thermoplastic resin, such as PET, is molded to define a 2D code signal, such as a digital watermark pattern. The mold can comprise an array of hole or spike features, some of which are directly vented to atmospheric pressure. A network of channels can link the other features to the directly-vented features, so all features are vented. A mold comprising spike features can form a digital watermark pattern on an item such that the watermark payload is decodable both from the side of the item that contacted the mold, and also from the opposite, non-contact side of the item. To aid entry of viscous thermoplastic among the very fine elemental features of a mold representing a watermark signal pattern, the features can be overlapped, forming a connected binary mark having larger features. A variety of other improvements and arrangements are also detailed.

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.

Laser marking of machine-readable codes

This disclosure relates to advanced signal processing technology including signal encoding. One combination includes an apparatus comprising: memory for storing image data, the image data comprising a plurality of color separations or channels, in which the image data comprises at least a first type of machine-readable symbology comprising a 1D barcode represented therein and a second type of machine-readable symbology comprising a first signal represented therein, in which the second type of machine-readable symbology comprises a different type of machine-readable symbology relative to the first type of machine-readable symbology, the 1D barcode comprising a first plural-bit code and the first signal comprising a second plural-bit code; a barcode reader configured to analyze the image data to decode the 1D barcode to obtain the first plural-bit code; a signal decoder configured to analyze one or more color separations or channels of the plurality of color separations or channels to decode the first signal to obtain the second plural-bit code; one or more processors configured to determine whether the second plural-bit code and the first plural-bit code conflict; and to identify a conflict based on a conflict determination. Of course, other features and combinations are described as well.

Detecting conflicts between multiple different signals within imagery

The present disclosures relates to decoding machine readable indicia (e.g., a 1D or 2D barcode) in imagery, and related image processing technology. One claim recites a method of locating a barcode within imagery, comprising: converting the imagery to greyscale imagery; evaluating a plurality of blocks within the greyscale imagery, each of the plurality of blocks comprising n×m pixels, where both n and m are positive integers; for each block of the plurality of blocks, determining a value representing pixel diversity within the block; masking the greyscale imagery based on values of the plurality of blocks, in which blocks with a value below a predetermined value of pixel diversity are masked out or excluded; searching the masked, greyscale imagery to determine whether is includes a barcode represented therein. Of course, other claims and combinations are provided too.

Color driven localization of 1D and 2D barcodes in digital capture systems

The parameters of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator employs these parameters to produce an optical code at the desired spatial density and robustness. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.

Generating reading optical codes with variable density to adapt for visual quality and reliability

The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable watermark data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.

Methods and arrangements for localizing machine-readable indicia

The present disclosure relates to advanced image signal processing technology including: i) rapid localization for machine-readable indicia including, e.g., 1-D and 2-D barcodes; and ii) barcode reading and decoders. One claim recites: an image processing method comprising: obtaining 2-dimensional (2D) image data representing a 1-dimensional (1D) barcode within a first image area; generating a plurality of scanlines across the first image area; for each of the plurality of scanlines, synchronizing the scanline, including decoding an initial set of numerical digits represented by the scanline, in which said synchronizing provides a scale estimate for the scanline; using a path decoder to decode remaining numerical digits within the scanline, the path decoder decoding multiple numerical digits in groups, in which the scale estimate is adapted as the remaining numerical digits are decoded; and providing decoded numerical digits as an identifier represented by the scanline. Of course, other combinations and claims are described within the present disclosure.

Decoding 1D-barcodes in digital capture systems

This disclosure relates to advanced signal processing technology including signal encoding and digital watermarking. Image areas are selected in an encoded digital design, and corresponding areas from a printed version of the encoded digital design are evaluated to determined signal robustness after printing. One claim recites an image processing method for selecting image areas to test for robustness of encoded signals, the method comprising: obtaining digital artwork comprising a plurality of colors, the digital artwork comprising multiple instances of an encoded signal; selecting a set encoding tiles, and for each encoding tile determining encoding detectability measure associated therewith; creating a bin for each encoding technology used to encode the encoded signal; for each bin, removing any encoding tile having a detectability measure below a predetermined threshold; for each bin, prioritizing remaining encoding tiles; selecting an encoding tile based on the prioritization per bin, and spatially locating the selected encoding tile relative to the digital artwork. Other technology is described in this patent document.

Detecting conflicts between multiple different encoded signals within imagery, using only a subset of available image data, and robustness checks

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.

Methods and arrangements for sorting items, useful in recycling

In one aspect, the technology processes image data depicting a physical object to extract payload data that is encoded on the object in the form of tiled code blocks. The payload data is encoded in conjunction with an associated reference signal. To account for possible inversion of the imagery, the decoding includes determining spatial correspondence between the image data and the reference signal. A patch of the image data smaller than the block size is then selected, and correlated with a spatially-corresponding patch of the reference signal. From the correlation it may be concluded that the chosen patch exhibits inversion. In such case a subset of the image data is adjusted prior to decoding to compensate for the inversion. A great number of other features and arrangements are also detailed.

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Portland, OR, United States of America

Vojtech Holub