A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing either the spoof or the real object; providing the image to a neural network; processing the image by the neural network by: calculating at least one of: 1) a distance map representative of the distance of a plurality of pixels to the optical sensor; or 2) a reflection pattern representative of light reflection associated with a plurality of pixels constituting at least a portion of the object within the image; and comparing at least one of the calculated distance map or the calculated reflection pattern with a learned distance map or a learned reflection pattern, to determine that the image contains either the spoof or the real object.

Provided is a wearable personal digital device for point of healthcare saliva testing. The wearable personal digital device may comprise a processor, a display, biometric sensors, activity tracking sensors, a memory unit, a communication circuit, a housing, an input unit, a projector, a timepiece unit, a haptic touch control actuator, a band, a mounting clip, a saliva sample insert apparatus, a pinhole, a light emitting diode board, a battery, and a set of sensors. The processor may be operable to receive data from an external device, provide a notification to a user based on the data, receive a user input, and perform a command selected based on the user input. The housing may be adapted to enclose the components of the wearable personal digital device. The band may be adapted to attach to the housing and secure the wearable personal digital device on a user body.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A system and method for document management, such as receipts, includes a device having a processor and associated memory, a wireless data interface and a digital imager. The device is configured to selectively generate image data corresponding to captured images of associated receipts acting in connection with a touchscreen display. Price data is extracted from multiple areas of the image data and an image of the receipts on the touchscreen display is generated. The processor determines a position of the price data on the image and highlights at least one user-selectable portion of the image on the touchscreen display. Aggregate costs are calculated and displayed in accordance with user selection.

The present invention is directed to new methods of determining elongation, tension and applied pressure of elastic bandages comprising tension indicators. In one embodiment, a computer-implemented method of detecting elongation of an elastic bandage (e.g. on a mobile computing device having a processor and graphical user interface) is described. The method comprises receiving image data that includes a digital photograph of an elongated tension indicator of an elastic bandage; analyzing the image data to determine elongation of the elastic bandage by comparing geometric features of the elongated tension indicator to model geometric features that define a predetermined elongation state (such as an unelongated state); and providing output indicia associated with the determined elongation. Also described are various articles, some of which are intermediate articles of the methods described herein. Such articles include non-transient computer readable medium, a three-dimensional member comprising at least one layer of certain elastic bandages. In one embodiment, the elastic bandage comprises a tension indicator and a computer readable code.

A distance to a target to be read by image capture over a range of working distances is determined by directing an aiming light spot along an aiming axis to the target, and by capturing a first image of the target containing the aiming light spot, and by capturing a second image of the target without the aiming light spot. Each image is captured in a frame over a field of view having an imaging axis offset from the aiming axis. An image pre-processor compares first image data from the first image with second image data from the second image over a common fractional region of both frames to obtain a position of the aiming light spot in the first image, and determines the distance to the target based on the position of the aiming light spot in the first image.

The invention relates to a method for measuring dimensions of a target object. The method comprises acquiring depth data representative of the physical space, the depth data comprising data of the target object, converting the depth data into a point cloud, extracting at least one plane from the point cloud, identifying a ground plane, eliminating the ground plane from the point cloud, extracting at least one point cluster from the remaining point cloud, identifying a point cluster of the target object, estimating dimensions of the target object based on the point cluster of the target object.

Embodiments generally relate to a machine-implemented method of automatically adjusting the range of a depth data recording executed by at least one processing device. The method comprises determining, by the at least one processing device, at least one position of a subject to be recorded; determining, by the at least one processing device, at least one spatial range based on the position of the subject; receiving depth information; and constructing, by the at least one processing device, a depth data recording based on the received depth information limited by the at least one spatial range.

According to one embodiment, a code recognition device includes a reader, a processor for region detection, for first extraction, and for second extraction. The reader photographs a code image . The processor detects a code region and a letter region included in the code image from the code image photographed by the reader. The processor extracts first code information indicating the code image from the code region. The processor also extracts second code information indicating the code image from the letter region.

A sponsoring brand may provide an application for mobile devices that allows users to take pictures of competitor advertisements and that provides responses to any assertions found in the competitor advertisements. The application may instruct a user to capture an image of an advertisement. Various types of detection and/or recognition components may be used to analyze the image to detect and recognize assertions, logos, and other objects or characteristics. The application then displays the image, and also displays responses or commentary relating to any assertions, logos, objects, or characteristics. The responses may point out errors, exaggerations, misstatements, deceptive statements, etc., and may also contain information that promotes the sponsoring brand.