An eye tracking method comprising: capturing image data by an image sensor; determining a region of interest as a subarea or disconnected subareas of said sensor which is to be read out from said sensor to perform an eye tracking based on the read out image data; wherein said determining said region of interest comprises: a) initially reading out only a part of the area of said sensor; b) searching the image data of said initially read out part for one or more features representing the eye position and/or the head position of a subject to be tracked; c) if said search for one or more features has been successful, determining the region of interest based on the location of the successfully searched one or more features, and d) if said search for one or more features has not been successful, reading out a further part of said sensor to perform a search for one or more features representing the eye position and/or the head position based on said further part.

A system for measuring chlorophyll concentration in a leaf sample includes a leaf-holding illuminator device with a main body containing a power source, a plurality of switchable light sources emitting light at different spectra (e.g., red and white light from a broadband light source), and a cap detachably secured to the main body using one or more fastening means. The leaf sample is interposed between the main body and the cap and held in place during imaging. The system includes a mobile electronic device having a camera configured to capture an image of the leaf illuminated by the plurality of switchable light sources, the mobile electronic device having wireless connectivity to a network and an application contained therein configured to transfer the images to a remote sever or computer via the network for data processing. A final chlorophyll index value is calculated based on the transferred images.

A computation unit calculates luminance differences of individual pixel pairs in a feature area and calculates, based thereon, a local feature value formed from bit values respectively corresponding to the pixel pairs. Specifically, the computation unit calculates a specific luminance difference for a specific pixel pair corresponding to a specific bit value and then compares the result with a specified range including a zero point of luminance difference. Then a first value is assigned to the specific bit value when the specific luminance difference is greater than the upper bound of the specified range. A second value is assigned to the same when the specific luminance difference is smaller than the lower bound of the specified range. A predetermined one of the first and second values is assigned to the same when the specific luminance difference falls in the specified range.

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

A prelam layer for use in forming a laminated card includes a flexible circuit substrate; a fingerprint sensor disposed on the flexible circuit substrate, the fingerprint sensor having upper and bottom surfaces, the bottom surface of the fingerprint sensor being disposed on the substrate, an active layer of the fingerprint sensor disposed towards the upper surface of the fingerprint sensor; a first integrated circuit chip disposed on the substrate and having at least one lead electrically connected to the flexible circuit substrate; and an adapter flexible circuit electrically bonded to the active layer of the fingerprint sensor. The integrated circuit chip is adapted to communicate with the fingerprint sensor through the adapter flexible circuit.

A display panel is provided. The display panel comprises an array substrate including a substrate and a plurality of pixel units disposed on the substrate, wherein each pixel unit includes a light emitting structure and a pixel driver circuit, the light emitting structure includes a reflective electrode, the driver circuit is disposed on a side of the light emitting structure adjacent to the substrate, the pixel driver circuit includes at least two thin-film-transistors and at least one capacitor, and orthogonal projections of at least two thin-film-transistors and at least one capacitor on a plane where the reflective electrode is located fall within the reflective electrode; a fingerprint recognition module including at least one fingerprint recognition unit, wherein an orthogonal projection of the fingerprint recognition unit on the array substrate at least partially overlaps with a transparent region on the array substrate; and a fingerprint recognition light source.

A display panel and a display apparatus are provided. The display panel comprises an array substrate, a plurality of light emitting units disposed on the array substrate, each having a plurality of sub-light emitting units, and a plurality of fingerprint recognition units, configured to recognize fingerprints based on light reflected by a touch object to the fingerprint recognition units. Each fingerprint recognition unit is configured in coordination with at least one sub-light emitting unit. An orthogonal projection of each fingerprint recognition unit on the array substrate and an orthogonal projection of a corresponding sub-light emitting structure on the array substrate overlap with each other.

One variation of a method for automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

A system for digitizing gauges, lights and other human-readable machine gauges and functions and status without interfering with the operation of the machine or requiring re-working or interfering with the existing machine wiring, signaling, electrical or mechanical elements or operating modes, or adding new digitizing equipment to the machine.

An object is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.