A detection system including a light source, an image sensor and a processor is provided. The light source is configured to illuminate an object. The image sensor is configured to output a picture. The processor is configured to generate an IR picture and a color picture according to the picture captured by the image sensor, identify a skin-color object in the color picture and determine an object image in the IR picture according to the skin-color object.

A computer-implemented method executed on an electronic device, the electronic device having a display screen, the method comprising: displaying an image on the display screen; receiving a user selection of a first portion of the image; responsive to the user selection of the first portion of the image, the first portion of the image containing a selected text portion, performing text recognition of the selected text portion and of an unselected text portion, the unselected text portion located in a second portion of the image being distinct from the first portion of the image, to render a recognized text element.

The disclosure includes a system and method for receiving viewing data that describes a location of a first user's gaze while viewing virtual reality content. The method also determining an object of interest in the virtual reality content based on the location of the first user's gaze. The method also includes generating a social network that includes the first user as a member of the social network. The method also includes performing an action in the social network related to the object of interest.

A vehicle entertainment system includes a video display unit, a camera, a communication interface, and a processor. The video display unit provides content to a user. The camera outputs a camera signal containing data representing the user's face. The communication interface communicate with a central content usage analysis computer. The processor processes the camera signal to identify facial features, compares the facial features to defined demographics rules, identifies user demographics based on the comparison of the facial features to the defined demographics rules, correlates the user demographics to a timeline of content consumed by the user through the video display unit to generate enhanced content usage metrics, and communicates the enhanced content usage metrics through the communication interface for delivery to the central content usage analysis computer.

Systems and methods for realizing practical applications of high speed digital image correlation (DIC) for dynamic quantities of interest are provided. In particular, a series of images are captured for a component of interest in which a non-filtered sensor and an analog low-pass filtered sensor are included within the region of interest for the series of images. Displacement signals are obtained for the component of interest, the non-filtered sensor, and the analog low-pass filtered sensor by applying digital image correlation processing to the series of images, which may also be wavelet filtered. Dynamic quantities of interest may be generated and derived from the displacement signals after having been wavelet filtered. Such dynamic quantities of interest based on the wavelet filtered DIC-derived displacement signal may be compared to sensor-derived dynamic quantities of interest to determine if aliasing is or is likely to be present.

An image processing apparatus, an image processing system, a vehicle, an imaging apparatus and an image processing method for dynamically determining an image processing area in a captured image of vehicle's surrounding area are provided. The image processing apparatus, mounted on the vehicle, includes a processor configured to determine an image processing area on a captured image of a traveling path The processor is configured to perform processing to determine at least a part of an approximate line corresponding to a distal end of the traveling path in the captured image based on at least one of the luminance information and the color information of the captured image and processing to determine the image processing area based on a position previously determined relative to at least a part of the approximate line.

An apparatus for detecting false fingerprints, comprising: an optical element having a detection surface on which at least one body is intended to be positioned, of which cutaneous imprints are intended to be detected, an anti-fake illuminator configured to generate at least one bright zone and at least one dark zone on said detection surface, an optical sensor arranged to capture light radiation reflected/diffused by said detection surface.

By tracking a user's eyes, an indicia scanning system can make educated guesses as to what the user is interested in. This insight could be useful in dynamically configuring a camera system, configuring an indicia decoding process or even as a method to select data that the user is interested in.

A process is provided for examining a loss of media of a motor vehicle. By use of a first camera arranged on a motor vehicle, a driving route in the area in front of a motor vehicle that is driving in the travel direction and is to be monitored is scanned. The route behind the motor vehicle to be monitored is scanned by way of a second camera arranged on a motor vehicle. When scanning the driving route, a forward image and a rearward image are acquired. The two images are compared for detecting a medium lost by the motor vehicle to be monitored. The corresponding medium can be classified. Appropriate actions can be automatically carried out corresponding to the classification of the medium.

Systems and methods are provided for analyzing vehicle signal lights in order to operate an autonomous vehicle. A method includes receiving an image from a camera regarding a vehicle proximate to the autonomous vehicle. Data from a lidar sensor regarding the proximate vehicle is used to determine object information for identifying a subsection within the camera image. The identified subsection corresponds to an area of the proximate vehicle containing one or more vehicle signals. One or more vehicle signal lights of the proximate vehicle is located by using the identified camera image subsection as an area of focus.