A gaze detection apparatus performs a calibration operation including displaying a target image in multiple positions on a display screen sequentially, setting, in the display screen, corresponding areas corresponding to the target images displayed on the display screen sequentially, and calculating positional data of points of regard in display periods in which the respective target images are displayed; and determines, with respect to each of the target images, whether the positional data of the point of regard that is calculated in the calibration operation is present within the corresponding area.

The present invention relates to a method of configuring an optical biometric imaging device comprising a photodetector pixel array, the method comprising: acquiring a biometric image of a biometric object using a first binning setting for binning of detection signals from subarrays of the photodetector pixels into a single pixel value; determining a measure indicative of the feature resolution of the biometric image; and determining, when the measure indicates that the feature resolution is below a feature resolution threshold, a second binning setting adapted to provide a higher feature resolution compared to the feature resolution of the biometric image.

The present invention relates to a method of configuring an optical biometric imaging device comprising a photodetector pixel array, the method comprising: acquiring a biometric image of a biometric object using a first binning setting for binning of detection signals from subarrays of the photodetector pixels into a single pixel value; determining a measure indicative of the feature resolution of the biometric image; and determining, when the measure indicates that the feature resolution is below a feature resolution threshold, a second binning setting adapted to provide a higher feature resolution compared to the feature resolution of the biometric image.

Systems including dual-aperture zoom digital cameras with scanning optical path folding elements (OPFEs) for automotive or surveillance applications and methods for operating and using same. In some embodiments, a dual-aperture zoom digital camera comprises a Wide camera with a Wide field of view FOV.sub.W, a Wide sensor and a Wide lens, wherein the Wide camera is operative to output Wide image information, a Tele camera with a Tele field of view FOV.sub.T smaller than FOV.sub.W and with a Tele sensor, a Tele lens with a Tele lens optical axis and a scanning OPFE, and a processing unit operative to detect an object of interest (OOI) from Wide and/or Tele image information and to direct the Tele camera to move FOV.sub.T to acquire Tele image information on the OOI.

Provided are a display module and a display apparatus. The display module includes: sub-pixels arranged in an array along a first direction and a second direction; and an array substrate including an underlay substrate, a fingerprint recognition unit, and a first light-shielding layer. The fingerprint recognition unit includes a photosensitive semiconductor layer, and an orthographic projection of the photosensitive semiconductor layer on a plane of the underlay substrate is located between two adjacent sub-pixels along the second direction. The first light-shielding layer is located on a side of the photosensitive semiconductor layer close to the underlay substrate, and an orthographic projection of the first light-shielding layer on a plane of the photosensitive semiconductor layer completely covers the photosensitive semiconductor layer, and along the first direction, a length of the first light-shielding layer is larger than or equal to twice a length of each of the plurality of sub-pixels.

A vehicle service system incorporating a set of imaging sensors disposed in an inspection lane through which a vehicle is driven. A processor is configured with software instructions to capture a set of images from the set of imaging sensors and to evaluate the captured images according to a set of rules to identify images in which a license plate is visible on an observed surface of the vehicle. The processor is further configured with software instruction to extract license plate information from the identified images, assign a figure of merit to the extracted information, and generate an output in response to the assigned figures of merit.

In one embodiment, a method includes receiving, from a first sensor on a robot, first sensor data indicative of an environment of the robot. The method also includes identifying, based on the first sensor data, an object of an object type in the environment of the robot, where the object type is associated with a classifier that takes sensor data from a predetermined pose relative to the object as input. The method further includes causing the robot to position a second sensor on the robot at the predetermined pose relative to the object. The method additionally includes receiving, from the second sensor, second sensor data indicative of the object while the second sensor is positioned at the predetermined pose relative to the object. The method further includes determining, by inputting the second sensor data into the classifier, a property of the object.

A touch display panel, a method for driving the same, and a display device. The touch display panel includes: an array substrate including pixel zones in an array, control signal lines at gaps between rows of pixel zones, and acquisition signal lines at gaps between columns of pixel zones, and insulated from control signal lines, sub-pixels, line recognition control transistors, and line recognition electrodes at gaps between the sub-pixels are arranged in pixel zones; line recognition control transistors have gates connected the control signal line, sources connected with line recognition electrodes, and drains connected with acquisition signal line; control signal lines provide line recognition control transistors with a control signal; and the acquisition signal lines provide the line recognition electrodes with a line recognition signal through the line recognition control transistors, and receive a signal carrying line information transmitted by the line recognition electrodes through the line recognition control transistors.

Provided are an optical device which is capable of optically implementing an activation function of an artificial neural network and an optical neural network apparatus which includes the optical device. The optical device may include: a beam splitter splitting incident light into first light and second light; an image sensor disposed to sense the first light; an optical shutter configured to transmit or block the second light; and a controller controlling operations of the optical shutter, based on an intensity of the first light measured by the image sensor.

Provided are an optical device which is capable of optically implementing an activation function of an artificial neural network and an optical neural network apparatus which includes the optical device. The optical device may include: a beam splitter splitting incident light into first light and second light; an image sensor disposed to sense the first light; an optical shutter configured to transmit or block the second light; and a controller controlling operations of the optical shutter, based on an intensity of the first light measured by the image sensor.