Abstract: A computer implemented method for generating a region of interest on a digital image of a sidewall of a tyre, the sidewall having one or more embossed and/or engraved markings, is provided. The method comprises generating a histogram of oriented gradients feature map of the digital image, inputting the histogram of oriented gradients feature map into a trained convolutional neural network, wherein said trained convolutional neural network is configured to output a first probability based on the input histogram of oriented gradients feature map that a region of pixels of the digital image contains the embossed and/or engraved markings, and if the first probability is at or above a first predetermined threshold, accepting said region of pixels as said region of interest.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a plurality of images; identifying a horizon in the plurality of images by inputting the plurality of images into a deep learning (DL) model (either stored on a local device or via a network call); determining one or more camera parameters based on the horizon; and storing or using the camera parameters to initialize a camera.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a sample set of image frames; detecting a plurality of markers in the sample set of image frames using a convolutional neural network (CNN); fitting lines based on the plurality of markers; detecting a plurality of vanishing points based on the lines; identifying a best fitting horizon for the sample set of image frames via a RANSAC algorithm; computing an inverse perspective mapping (IPM) based on the best fitting horizon; and computing a lane width estimate based on the sample set of image frames using the IPM in a rectified view and the parallel line fitting.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a sample set of image frames; detecting a plurality of markers in the sample set of image frames using a convolutional neural network (CNN); fitting lines based on the plurality of markers; detecting a plurality of vanishing points based on the lines; identifying a best fitting horizon for the sample set of image frames via a RANSAC algorithm; computing an inverse perspective mapping (IPM) based on the best fitting horizon; and computing a lane width estimate based on the sample set of image frames using the IPM in a rectified view and the parallel line fitting.

Abstract: A computer implemented method is proposed for classifying one or more embossed and/or engraved markings on a sidewall of a tyre into one or more classes comprising digital image data of the sidewall of the tyre. The method comprises generating a first image channel from a first portion of the digital image data relating to a corresponding first portion of the sidewall of the tyre. Generating the first image channel comprises performing histogram equalisation on the first portion of the digital image data to generate the first image channel. The method further comprises generating a first feature map using the first image channel and applying a first classifier to the first feature map to classify said embossed and/or engraved markings into one or more first classes.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a plurality of images; identifying a horizon in the plurality of images by inputting the plurality of images into a deep learning (DL) model (either stored on a local device or via a network call); determining one or more camera parameters based on the horizon; and storing or using the camera parameters to initialize a camera.

Abstract: A computer implemented method is proposed for classifying one or more embossed and/or engraved markings on a sidewall of a tyre into one or more classes comprising digital image data of the sidewall of the tyre. The method comprises generating a first image channel from a first portion of the digital image data relating to a corresponding first portion of the sidewall of the tyre. Generating the first image channel comprises performing histogram equalisation on the first portion of the digital image data to generate the first image channel. The method further comprises generating a first feature map using the first image channel and applying a first classifier to the first feature map to classify said embossed and/or engraved markings into one or more first classes.

Abstract: A computer implemented method for generating a region of interest on a digital image of a sidewall of a tyre, the sidewall having one or more embossed and/or engraved markings, is provided. The method comprises generating a histogram of oriented gradients feature map of the digital image, inputting the histogram of oriented gradients feature map into a trained convolutional neural network, wherein said trained convolutional neural network is configured to output a first probability based on the input histogram of oriented gradients feature map that a region of pixels of the digital image contains the embossed and/or engraved markings, and if the first probability is at or above a first predetermined threshold, accepting said region of pixels as said region of interest.

Abstract: An eyelash extension/false eyelash dispensing tray comprising: a base having an outer margin and raised central portion extending upwards from the outer margin and having a flat top surface; the tray further comprising at least one elongate adhesive strip across a width of the flat surface of the raised central portion.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a sample set of image frames; detecting a plurality of markers in the sample set of image frames using a convolutional neural network (CNN); fitting lines based on the plurality of markers; detecting a plurality of vanishing points based on the lines; identifying a best fitting horizon for the sample set of image frames via a RANSAC algorithm; computing an inverse perspective mapping (IPM) based on the best fitting horizon; and computing a lane width estimate based on the sample set of image frames using the IPM in a rectified view and the parallel line fitting.

Abstract: Systems and methods for authoring and performing procedural workflows, and engaging in multimedia communication, remote assistance, training, data entry, inventory management, authentication, and secure networking using a hands-free or substantially hands-free wearable digital device are described. In one implementation, a user logs into a secure network using existing credentials, and a Quick Response Code is generated to temporarily authorize the user's wearable device within the secure network. In another implementation, information is encrypted and transferred between a computing device and a remote system, and the computing device is verified as being connected to a particular network and located within a particular geofence. In a further implementation, an interface for authoring a procedural workflow includes defining workflow steps based on selected primitives, and displaying rendered previews of the workflow as it would appear on different user devices.

Abstract: The condition of a tyre (5) on a wheel (2) is assessed while the wheel (2) is mounted on a vehicle (1) and while the vehicle (1) is moving. As the vehicle (1) moves, the tyre (5) rotates and moves longitudinally along a path of movement. An imaging device (3, 4) captures images of a plurality of different portions (7) of the periphery of the tyre (5), which has tread portions (10) separated by tread gaps (11), whilst the tyre (5) revolves. While the images are being captured, longitudinally spaced flash units (F1, F2, F3, F4) are activated to illuminate portions (7) of the periphery of the tyre (5). The flash units (F1, F2, F3, F4) are positioned to one side of the path of movement of the tyre (5) and direct light at an acute angle to the path of movement of the tyre (5) so that the light causes shadows to be cast in the tread gaps (11) between tread portions (10).

Abstract: The condition of a tyre (5) on a wheel (2) is assessed while the wheel (2) is mounted on a vehicle (1) and while the vehicle (1) is moving. As the vehicle (1) moves, the tyre (5) rotates and moves longitudinally along a path of movement. An imaging device (3, 4) captures images of a plurality of different portions (7) of the periphery of the tyre (5), which has tread portions (10) separated by tread gaps (11), whilst the tyre (5) revolves. While the images are being captured, longitudinally spaced flash units (F1, F2, F3, F4) are activated to illuminate portions (7) of the periphery of the tyre (5). The flash units (F1, F2, F3, F4) are positioned to one side of the path of movement of the tyre (5) and direct light at an acute angle to the path of movement of the tyre (5) so that the light causes shadows to be cast in the tread gaps (11) between tread portions (10).

Abstract: An apparatus for processing Mediation Bridge Ontology (MBO) based on ontology alignment patterns. The apparatus includes an MBO strategy design pattern component to have a plurality of strategy design pattern classes, to request, from a Pattern Relationship Model (PRM) component, a PRM for execution of the plurality of strategy design pattern classes, to receive the requested PRM from the PRM component, to execute a strategy design pattern using the received PRM, to acquire alignment information from the executed strategy design pattern, and to store the acquired alignment information, an MBO mediation pattern component to add a new class to the MBO strategy design pattern component through an interface used for communicating with other objects, and the PRM component to have a plurality of PRMs, and, in response to a request from the MBO strategy design pattern component, to provide a PRM to the MBO strategy design pattern component.

Abstract: The present disclosure relates to recipient-specific feature activation. In an embodiment, a device may store firmware for executing a superset of device features associated with an intended recipient. The device may be configured to limit device functions to a subset of the device features or a specific firmware configuration based on an indication remotely received from an activation authority. Intended recipients may include specific customers of the device, an intended market or region, or other recipients.

Abstract: Apparatus and method for in situ authentication and diagnostic repair of a data storage device in a multi-device user environment. In accordance with some embodiments, the method includes detecting an error condition associated with a selected data storage device in the multi-device user environment. A first level of user authentication is established by providing a challenge value generated by the selected data storage device to a remote device over a network associated with the selected data storage device. A first diagnostic tool stored on the selected data storage device is executed responsive to receipt of the first level of user authentication. A second level of user authentication is established by providing a second challenge value generated by the selected data storage device to the remote device. An output from the first diagnostic tool is used to execute a second diagnostic tool stored on the selected data storage device.

Abstract: An apparatus for processing Mediation Bridge Ontology (MBO) based on ontology alignment patterns. The apparatus includes an MBO strategy design pattern component to have a plurality of strategy design pattern classes, to request, from a Pattern Relationship Model (PRM) component, a PRM for execution of the plurality of strategy design pattern classes, to receive the requested PRM from the PRM component, to execute a strategy design pattern using the received PRM, to acquire alignment information from the executed strategy design pattern, and to store the acquired alignment information, an MBO mediation pattern component to add a new class to the MBO strategy design pattern component through an interface used for communicating with other objects, and the PRM component to have a plurality of PRMs, and, in response to a request from the MBO strategy design pattern component, to provide a PRM to the MBO strategy design pattern component.

Abstract: The present disclosure relates to late stage SKU assignment. In an embodiment, a device may be assigned a complete SKU having a predefined portion and a variable portion. The predefined portion may be set during a manufacturing process of the device, and the variable portion may be assigned after manufacture, after shipping, or after the device is put into use. In some embodiments, the variable portion may be based on a set of features enabled on the device.

Abstract: Apparatus and method for in situ authentication and diagnostic repair of a data storage device in a multi-device user environment. In accordance with some embodiments, the method includes detecting an error condition associated with a selected data storage device in the multi-device user environment. A first level of user authentication is established by providing a challenge value generated by the selected data storage device to a remote device over a network associated with the selected data storage device. A first diagnostic tool stored on the selected data storage device is executed responsive to receipt of the first level of user authentication. A second level of user authentication is established by providing a second challenge value generated by the selected data storage device to the remote device. An output from the first diagnostic tool is used to execute a second diagnostic tool stored on the selected data storage device.

Abstract: Systems and methods for authoring and performing procedural workflows, and engaging in multimedia communication, remote assistance, training, data entry, inventory management, authentication, and secure networking using a hands-free or substantially hands-free wearable digital device are described. In one implementation, a user logs into a secure network using existing credentials, and a Quick Response Code is generated to temporarily authorize the user's wearable device within the secure network. In another implementation, information is encrypted and transferred between a computing device and a remote system, and the computing device is verified as being connected to a particular network and located within a particular geofence. In a further implementation, an interface for authoring a procedural workflow includes defining workflow steps based on selected primitives, and displaying rendered previews of the workflow as it would appear on different user devices.