Vision-assist devices and methods for calibrating a position of a vision-assist device worn by a user are disclosed. In one embodiment, a method of calibrating a vision-assist device includes capturing a calibration image using at least one capturing device of the vision-assist device, obtaining at least one attribute of the calibration image, and comparing the at least one attribute of the calibration image with a reference attribute. The method further includes determining an adjustment of the at least one image sensor based at least in part on the comparison of the at least one attribute of the calibration image with the reference attribute, and providing an output corresponding to the determined adjustment of the vision-assist device.

Apparatuses and methods associated with authenticated production are disclosed herein. In embodiments, a digital fingerprint processor may be configured to: identify an activation of at least one of the one or more machines to attempt to produce or manufacture at least one of physical product or physical manufacture; responsive to completion of one or more operations associated with the activation by the one or more machines, acquire digital image data of a portion of a physical object on or inside the one or more machines; analyze the digital image data to form a digital fingerprint of the physical object, wherein the digital fingerprint is responsive to structure of the physical object; and store the digital fingerprint in a database record of the database system. Other embodiments may be disclosed or claimed.

The technology disclosed can provide improved safety by detecting potential unsafe conditions (e.g., collisions, loss of situational awareness, etc.) confronting the user of a wearable (or portable) sensor configured to capture motion and/or determining the path of an object based on imaging, acoustic or vibrational waves. Implementations can enable improved safety to users of virtual reality for machine control and/or machine communications applications using wearable (or portable) devices, e.g., head mounted displays (HMDs), wearable goggles, watch computers, smartphones, and so forth, or mobile devices, e.g., autonomous and semi-autonomous robots, factory floor material handling systems, autonomous mass-transit vehicles, automobiles (human or machine driven), and so forth, equipped with suitable sensors and processors employing optical, audio or vibrational detection.

A first set of data may be received indicating that an object of interest has been identified. A second set of data may be received indicating a first location of where the object of interest was identified. The first location may correspond to a geographical area. In response to the receiving of the first set of data and the second set of data, the first location may be associated with a first transceiver base station. In response to the associating, a first list of one or more mobile devices may be obtained that are within an active range of the first transceiver base station.

The present disclosure relates to secure storage of a detailed set of elements relating to fingerprint features for a finger and to a method for authenticating a candidate fingerprint of a finger using said detailed set of elements, allowing for improved security and user convenience.

The disclosure concerns a method for assessing muscular dystrophy-linked protein expression in muscle fibers using digital image analysis of tissue. The method relates to assessing disease severity in individuals with muscular dystrophy. Muscle tissue samples are obtained from patients submitted for evaluation and processed to produce tissue sections mounted on glass slides which have been stained for a muscular dystrophy-linked protein. Digital images of the stained tissue sections are generated and analyzed by applying an algorithm process implemented by a computer to the images. The algorithm process extracts the morphometric and staining features of the muscular dystrophy-linked protein staining in the tissue, and parameters relating to these features are used to score the disease status for each patient submitted for evaluation. The score of disease status is ultimately used to infer disease severity, monitor the efficacy of a therapeutic approach, or select patients as candidates for a therapeutic approach.

The accuracy of an image matching process can be improved by determining relevant swatch regions of the images, where those regions contain representative patterns of the items of interest represented in those images. Various processes examine a set of visual cues to determine at least one candidate object region, and then collate these regions to determine one or more representative swatch images. For apparel items, this can include locating regions such as an upper body region, torso region, clothing region, foreground region, and the like. Processes such as regression analysis or probability mapping can be used on the collated region data (along with confidence and/or probability values) to determine the appropriate swatch regions.

The present invention includes computer vision based driver assistance devices, systems, methods and associated computer executable code (hereinafter collectively referred to as: “ADAS”). According to some embodiments, an ADAS may include one or more fixed image/video sensors and one or more adjustable or otherwise movable image/video sensors, characterized by different dimensions of fields of view. According to some embodiments of the present invention, an ADAS may include improved image processing. According to some embodiments, an ADAS may also include one or more sensors adapted to monitor/sense an interior of the vehicle and/or the persons within. An ADAS may include one or more sensors adapted to detect parameters relating to the driver of the vehicle and processing circuitry adapted to assess mental conditions/alertness of the driver and directions of driver gaze. These may be used to modify ADAS operation/thresholds.

A management system for supervising an operator within an operation area with a processing apparatus installed therein has an imaging camera for capturing an image of the operator, and a control unit. The control unit stores an area map that includes information about the processing apparatus and the positions of the processing apparatus, acquires identifying information regarding the operator on the basis of the image captured by the imaging camera, and extracts traffic lines of the operator. A management unit records the traffic lines of the operator and the identifying information of the operator, in relation to each other on the area map.

A system and method for matching a second electronic document to a first electronic document, the first electronic document including at least partially unstructured data of a transaction. The method includes: analyzing the at least partially unstructured data to determine at least one transaction parameter; creating a template for the first electronic document, wherein the template is a structured dataset including the determined at least one transaction parameter; determining, based on the template, a portion of the first electronic document requiring evidence; searching, based on the template, for a second electronic document, wherein the second electronic document indicates of the evidence-requiring portion; and associating the second electronic document with the first electronic document.