Abstract: Apparatus and methods for testing a scannability of a QR code within multiple scenarios is provided. Methods may include generating the QR code and creating a background-scene for being applied to the QR code. Methods may include creating a composite image by combining the QR code with the background-scene. Methods may further include generating multiple versions of the composite image to mimic the composite image within the multiple scenarios. The multiple scenarios may include one or more environments the QR code may be positioned within. The multiple scenarios may include one or more perspectives the QR code may be scanned from. Methods may further include simulating scanning each of the multiple versions to determine a level of success of the scanning of each of the multiple versions.

Abstract: Apparatus and methods for testing a scannability of a QR code within multiple scenarios is provided. Methods may include generating the QR code and creating a background-scene for being applied to the QR code. Methods may include creating a composite image by combining the QR code with the background-scene. Methods may further include generating multiple versions of the composite image to mimic the composite image within the multiple scenarios. The multiple scenarios may include one or more environments the QR code may be positioned within. The multiple scenarios may include one or more perspectives the QR code may be scanned from. Methods may further include simulating scanning each of the multiple versions to determine a level of success of the scanning of each of the multiple versions.

Abstract: Apparatus and methods for mining a Uniform Resource Locator (“URL”) are provided. A method according to the embodiments includes generating a quick-response (“QR”) code including a data zone, a position detection pattern and an environmental zone. The method further includes storing an application programming interface (“API”) in a memory. The API is for retrieving a Uniform Resource Locator (“URL”) from a selected location. The URL includes a logo. The method also includes building the data zone, the position detection pattern and the environmental zone of the QR code based on the URL—and creating dark and light color categorization of a plurality of colors derived from the URL.

Abstract: An optical code scanner being operated using an algorithm is provided. The scanner may scan an optical label. The label may include machine-readable code. The scanner may derive a single set of instructions from the code or multiple sets of instructions from the code. The scanner may process the code. The processing may upload a set of instructions from the code to the scanner and store the set of instructions in an instructions library. The scanner may also derive a picture associated with the instructions and store the picture in the library. The scanner may display a plurality of pictures. Each of the pictures may correspond to a set of uploaded instructions stored on the scanner. Each of the plurality of pictures may be selectable by a user. In response to a user selection of a picture, the scanner may be configured to execute the uploaded instructions that correspond to the selected picture.

Abstract: Software tools disclosed herein may allow a user to enter design choices that alter an aesthetic appearance of a machine-readable label such that modules included in the label deviate from a standardized definition for the modules. Such alterations may include changes in size, color and orientation of modules. The alterations may allow a user to create machine-readable labels having unique aesthetic appearances. A software engine may ensure that, despite the aesthetic design choices entered by a user, the generated machine-readable label is reliably scannable.

Abstract: This disclosure relates to an electronic tag that may be scanned using at least two modalities, such by scanning a radio-frequency identification (“RFID”) embedded within the tag and/or scanning a machine-readable label (“MRL”) visible from an outside of the tag. Systems may track and capture downstream user interaction with content presented in response to a scan. Systems may distinguish between scan of an MRL versus scans of an RFID chip. A scan of an MRL may trigger loading of a first scan destination on a scanning device. A scan of an RFID chip may trigger loading of a second scan destination on a scanning device. Systems may generate analytics on detected differences between whether an MRL or RFID chip is scanned.

Abstract: This disclosure relates to technology for embedding machine-readable labels (“MRLs”) into digital media files. Digital media files may be presented on different screen sizes, having different resolutions, different frame refresh rates and other display properties. Each screen may therefore present an MRL differently, potentially negatively impacting scan-ability of the presented MRL. Systems disclosed herein receive a set of design choices for an MRL. The systems may resize pre-existing content in one or more video frames of the media file and create a space within each video frame for displaying the MRL. The systems may render a resultant video file for a target screen size that includes a reliably scannable MRL embedded in the video frame(s).

Abstract: Apparatus and methods provide an end-to-end system for claiming and sharing non-fungible tokens (“NFTs”). A machine-readable code (“MRC”) may be scanned and validated. Validating the MRC may ensure that instructions encoded in the MRC do not include malware. Validating the MRC may include validating a digital signature encoded in the scanned MRC. Validating the MRC may include locating a record stored on a distributed ledger that corresponds to the scanned MRC. After validating the instructions, processing the encoded instructions may trigger distribution of an NFT to the scanning device. The distributed NFT may be visualized on a webpage or used to gain access to a restricted venue.

Abstract: This disclosure relates to electronically linking offline user activity to online activity of that user. Linking offline to online activity provides real-time feedback on traffic flow from a machine-readable label (“MRL”) scan to a conversion event on a target website. Linking offline to online activity enables tracking of specific MRLs and conversion events associated therewith. Linking offline to online activity enables calculating benchmarks such as time to conversion event and best performing conversion locations for an MRL. Linking offline to online activity enhances security and data quality as each conversion event can be traced back to a unique MRL scan and a timestamp and geolocation associated with the unique MRL scan.

Abstract: Methods, devices and systems for computing interactive customized content in response to a scan, or multiple scans, of a machine-readable label are provided. Illustrative methods may include receiving, from a user or group of users, a scan of a machine-readable optical label captured using a camera of a mobile device. Methods may include determining, based on the scan or scans, one, or more than one, redirect Uniform Resource Locator(s) (URL(s)). Methods may include generating, based on a user profile or group of user profiles and a redirect service that is accessed using the redirect URL, customized content associated with the scan. Methods may include redirecting the user or users to one or more target landing page URL(s), and providing to the user or users, through a browser on the mobile device or mobile devices, one or more than one target landing page(s) that includes the customized content.

Abstract: This disclosure relates to technology that provides dynamically configurable access to customized digital content associated with a machine-readable label (“MRL”). A MRL may be designed, printed and distributed to viewers. After distribution, the MRL may be collected by an owner who activates the collectible MRL and associates the MRL with customized content. At a time they are generated, a collectible MRL may be associated with a default scan destination. The default scan destination may be encoded in a data zone of the collectible MRL. The information encoded in a data zone of the collectible MRL may not be changeable after the MRL is distributed or fixed in tangible form. The disclosed technology provides apparatus and methods for customizing content associated with a MRL even after the MRL has been fixed in tangible form.

Abstract: An optical code scanner being operated using an algorithm is provided. The scanner may scan an optical label. The label may include machine-readable code. The scanner may derive a single set of instructions from the code or multiple sets of instructions from the code. The scanner may process the code. The processing may upload a set of instructions from the code to the scanner and store the set of instructions in an instructions library. The scanner may also derive a picture associated with the instructions and store the picture in the library. The scanner may display a plurality of pictures. Each of the pictures may correspond to a set of uploaded instructions stored on the scanner. Each of the plurality of pictures may be selectable by a user. In response to a user selection of a picture, the scanner may be configured to execute the uploaded instructions that correspond to the selected picture.

Abstract: Methods, devices and systems for computing interactive customized content in response to a scan, or multiple scans, of a machine-readable label are provided. Illustrative methods may include receiving, from a user or group of users, a scan of a machine-readable optical label captured using a camera of a mobile device. Methods may include determining, based on the scan or scans, one, or more than one, redirect Uniform Resource Locator(s) (URL(s)). Methods may include generating, based on a user profile or group of user profiles and a redirect service that is accessed using the redirect URL, customized content associated with the scan. Methods may include redirecting the user or users to one or more target landing page URL(s), and providing to the user or users, through a browser on the mobile device or mobile devices, one or more than one target landing page(s) that includes the customized content.

Abstract: This disclosure relates to technology for embedding machine-readable labels (“MRLs”) into digital media files. Digital media files may be presented on different screen sizes, having different resolutions, different frame refresh rates and other display properties. Each screen may therefore present an MRL differently, potentially negatively impacting scan-ability of the presented MRL. Systems disclosed herein receive a set of design choices for an MRL. The systems may resize pre-existing content in one or more video frames of the media file and create a space within each video frame for displaying the MRL. The systems may render a resultant video file for a target screen size that includes a reliably scannable MRL embedded in the video frame(s).

Abstract: Software tools disclosed herein may allow a user to enter design choices that alter an aesthetic appearance of a machine-readable label such that modules included in the label deviate from a standardized definition for the modules. Such alterations may include changes in size, color and orientation of modules. The alterations may allow a user to create machine-readable labels having unique aesthetic appearances. A software engine may ensure that, despite the aesthetic design choices entered by a user, the generated machine-readable label is reliably scannable.

Abstract: Methods, devices and systems for computing interactive customized content in response to a scan of a machine-readable label are provided. Illustrative methods may include receiving, from a user, a scan of a machine-readable optical label captured using a camera of a mobile device. Methods may include determining, based on the scan, a redirect Uniform Resource Locator (URL). Methods may include generating, based on a user profile and a redirect service that is accessed using the redirect URL, comprising the customized content associated with the scan. Methods may include redirecting the user to a target landing page URL, and providing, to the user through a browser on the mobile device, a target landing page that includes the customized content.

Abstract: Software tools disclosed herein may allow a user to enter design choices that alter an aesthetic appearance of a machine-readable label such that modules included in the label deviate from a standardized definition for the modules. Such alterations may include changes in size, color and orientation of modules. The alterations may allow a user to create machine-readable labels having unique aesthetic appearances. A software engine may ensure that, despite the aesthetic design choices entered by a user, the generated machine-readable label is reliably scannable.