The present disclosure provides a line recognition module, a fabricating method thereof and a display device. A better collimating effect may be achieved only by fabricating an optical sensing structure on a substrate in the line recognition module and then directly fabricating at least two light shading layers and a light transmitting layer with relatively simple structures, and the device structure is light and thin, which can reduce the difficulty of processing the device. The problem that the yield is affected due to blistering caused by attaching a collimating structure to the line recognition module with use of an optically clear adhesive (OCA) is avoided. Moreover, since film layers are fabricated directly on the optical sensing structure to form the collimating structure, fabrication of the collimating structure may be accomplished by using a generic device for fabrication of the film layers on an array substrate without adding new fabrication equipment.

A system for making a holographic medium for use in generating light patterns for eye tracking includes a light source configured to provide light and a beam splitter configured to separate the light into a first portion of the light and a second portion of the light that is spatially separated from the first portion of the light. The system also includes a first set of optical elements configured to transmit the first portion of the light for providing a first wide-field beam onto an optically recordable medium and one or more diffractive optical elements configured to receive the second portion of the light and project a plurality of separate light patterns onto the optically recordable medium for forming the holographic medium.

A head-mounted display device includes an eye tracking sensor configured to obtain eye information by tracking both eyes of a user, a depth sensor configured to obtain depth information about one or more objects, and a processor configured to obtain information about a gaze point based on the eye information, and determine a measurement parameter of the depth sensor based on the information about the gaze point.

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.

An augmented reality system having a light source and a camera. The light source projects a pattern of light onto a scene, the pattern being periodic. The camera captures an image of the scene including the projected pattern. A projector pixel of the projected pattern corresponding to an image pixel of the captured image is determined. A disparity of each correspondence is determined, the disparity being an amount that corresponding pixels are displaced between the projected pattern and the captured image. A three-dimensional computer model of the scene is generated based on the disparity. A virtual object in the scene is rendered based on the three-dimensional computer model.

A facial tracking device including an illuminator and a photon detector. The illuminator configured to project a light toward a first portion of a head of a user and the photon detector configured to detect light reflected from a second portion of the head of the user. The facial tracking device further including a processor that is connected to the illuminator and photon detector and configured to cause the illuminator to project the light toward the head of the user, receive information from the photon detector, and determine a facial expression of the user.

An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.

Provided is an electronic device measuring user's biometric information. The electronic device includes a display module including a display panel, in which a signal transmission region, a peripheral display region adjacent to the signal transmission region, and a main display region spaced apart from the signal transmission region are provided, and a camera module overlapped with the signal transmission region. The display panel includes a plurality of first pixels, which are disposed in a unit region of the main display region, and a plurality of second pixels, which are disposed in a unit region of the peripheral display region. An emission area of green light in the unit region of the first pixels is different from an emission area of green light in the unit region of the second pixels.

Provided is an electronic device measuring user's biometric information. The electronic device includes a display module including a display panel, in which a signal transmission region, a peripheral display region adjacent to the signal transmission region, and a main display region spaced apart from the signal transmission region are provided, and a camera module overlapped with the signal transmission region. The display panel includes a plurality of first pixels, which are disposed in a unit region of the main display region, and a plurality of second pixels, which are disposed in a unit region of the peripheral display region. An emission area of green light in the unit region of the first pixels is different from an emission area of green light in the unit region of the second pixels.