A digital video ramp assembly incorporates process-formed structural LED tiles with modular components that join in a system of scalable structural LED tiles forming a complete LED display structure with integrated LED embedded tiles with interlocking and inter-trans-positioning features sometimes requiring additional structural framing.

An interaction display method and an interaction display system are provided. The interaction display system includes a transparent display and at least one image sensing device. Image data of a plurality of operators is captured by the image sensing device. At least one local feature and at least one global feature of the operators are extracted from the image data, and at least one projection point on a display plane of the transparent display is detected. Each local feature and each global feature are paired. Each projection point and each global feature are paired. According to a pairing result between each local feature and each global feature and a pairing result between each projection point and each global feature, a pointing direction of one of the operators is determined, an interaction continuation operation is performed, and/or notification information is provided.

Disclosed is a timing controller including a coordinate data generation circuit configured to generate X coordinate emission data for acquiring X coordinates and Y coordinate emission data for acquiring Y coordinates of the touch coordinates, a selection circuit configured to time-divide 1 frame duration, to output image data to a display driving circuit during a display field, to output the X coordinate emission data to the display driving circuit during an X coordinate field, and to output the Y coordinate emission data to the display driving circuit during a Y coordinate field, and a control data generation circuit configured to generate source control data and gate control data for outputting the image data, the X coordinate emission data, and the Y coordinate emission data to a display panel and to output the source control data and the gate control data to the display driving circuit.

A touch field is created around a touchscreen display, the field is in front of a touch surface of the display and the field maps to locations on the display. An operator of a terminal during a transaction is presented with transaction interface screens that are visually rendered on the display. The operator makes interface options selections, performs screen navigation, and provides date entry field inputs by placing the operator's hand within the field without touching the touch surface of the display and making hand poses, hand movements, and/or hand gestures. The poses, movements, and/or gestures are translated into touch actions and touch inputs recognized by the transaction interface and processed as operator-provided input during the transaction.

A photosensitive electrically conductive structure includes: a substrate; a releasing photosensitizing resin layer disposed on the substrate; a nano silver layer disposed on the releasing photosensitizing resin layer; and a photosensitive electrically conductive layer disposed on an edge of the nano silver layer. A visible region is defined in the photosensitive electrically conductive structure where the nano silver layer is not covered by the photosensitive electrically conductive layer and a peripheral wiring region is defined in the photosensitive electrically conductive structure where the nano silver layer is covered by the photosensitive electrically conductive layer. The releasing photosensitizing resin layer has an average molecular weight (Mn) greater than 3,000 but less than 100,000, and the releasing photosensitizing resin layer, the nano silver layer, and the photosensitive electrically conductive layer are patterned. A touch sensor includes at least one layer of the photosensitive electrically conductive structure.

A photosensitive electrically conductive structure includes: a substrate; a releasing photosensitizing resin layer disposed on the substrate; a nano silver layer disposed on the releasing photosensitizing resin layer; and a photosensitive electrically conductive layer disposed on an edge of the nano silver layer. A visible region is defined in the photosensitive electrically conductive structure where the nano silver layer is not covered by the photosensitive electrically conductive layer and a peripheral wiring region is defined in the photosensitive electrically conductive structure where the nano silver layer is covered by the photosensitive electrically conductive layer. The releasing photosensitizing resin layer has an average molecular weight (Mn) greater than 3,000 but less than 100,000, and the releasing photosensitizing resin layer, the nano silver layer, and the photosensitive electrically conductive layer are patterned. A touch sensor includes at least one layer of the photosensitive electrically conductive structure.

A method of operating an input device can include generating a light beam by a light source module, steering the light beam towards a target location on an underlying surface, steering a reflected light beam towards an image sensor of the input device, receiving the reflected light beam by the image sensor, and generating tracking data by the image sensor that corresponds to a two-dimensional (2D) movement of the input device on the underlying surface. The method further includes determining that the input device is operating: on and in contact with the underlying surface when the reflected light beam received by the image sensor is located on a first set of pixels of the image sensor, and above and not in contact with the underlying surface when the reflected light beam is located on a second set of pixels of the plurality of pixels of the image sensor.

Finger detection and separation techniques on a multi-touch touch sensor panel can be improved using machine learning models (particularly for touch sensor panels with relatively low signal-to-noise ratio). In some examples, a machine learning model can be used to process an input patch to disambiguate whether the input patch corresponds to one contact or two contacts. In some examples, the machine learning model can be implemented using a neural network. The neural network can receive a sub-image including an input patch as an input, and can output a number of contacts. In some examples, the neural network can output one or more sub-image masks representing the one or more contacts.

An optical sensor including lenses along two opposite edges of a detection area, light emitters mounted along a specific one of the edges, each emitter projecting light beams through a respective one of the lenses, wherein the lenses split the projected emitter light into a plurality of divergent light beams directed across the detection area to respective pluralities of lenses along the edge of the detection area opposite the specific edge, wherein light intensity of each directed light beam is maximized along its center and an intensity distribution within each directed beam is known, light detectors along the edge opposite the specific edge, each detector receiving light directed across the detection area through a respective one of the lenses, and a processor receiving outputs from the detectors and calculating object locations in the detection area based on the known intensity distribution within each directed light beam and the received outputs.

Touch detection using a mirror accessory may include obtaining first image data comprising a touching object and a target surface, wherein the first image data captures a scene comprising the touching object and the target surface from the viewpoint of a camera, obtaining second image data comprising the touching object and the target surface, wherein the second image data captures the touching object and the target surface as a reflection in a mirror that is separate from the target surface, determining a pose of the mirror in the scene, determining a pose of the touching object in the scene based on the first image data, the second image data, and the pose of the mirror, and estimating a touch status between the touching object and the target surface based on the determined pose of the touching object and a pose of the target surface.