A texture recognition device and a driving method of a texture recognition device (100) are provided. The texture recognition device has a touch side, and includes: a light source array, an image sensor array and a light valve structure; the image sensor array is configured to receive light emitted from the light source array and then reflected to the image sensor array by a texture for a texture image collection; the light valve structure is disposed on a side of the light source array close to a touch side and is configured to control a first region to be in a light transmission state in response to a control signal, so as to allow light emitted from the light source array to pass through the first region to form a first photosensitive light source in the light transmission state.

An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.

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 image processing apparatus comprises: an acquisition unit that acquires a first image obtained through shooting and distance information of the first image; a detection unit that detects a main subject from the first image; an extraction unit that extracts another subject from the first image based on the distance information of the main subject; a setting unit that sets parameters of one or more virtual light sources that emit virtual light to the main subject and the extracted other subject; and a processing unit that generates from the first image a second image in which the main subject and the other subject are illuminated with the virtual light using the parameters set by the setting unit.

The method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.

The invention relates to a fingerprint recognition system. The fingerprint recognition system includes a light emitter, an optical receiver, and a comparison module. First, the light emitter emits at least one patterned emitted light to an object to be measured, and the patterned reflected light reflected by the object is received by the light receiver. Then, the patterned emitted light and the patterned reflected light are compared with each other and the comparison information is generated by the comparison module. Finally, when the comparison information is in the three-dimensional comparison interval, the surface of the object to be measured is determined to be three-dimensional; otherwise, the surface of the object to be measured is determined to be flat. Therefore, the fingerprint recognition system of the present invention can achieve the purposes of real-time differentiation and wide applicability.

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.

A high security key scanning system and method is provided. The scanning system may comprise a sensing device configured to determine information and characteristics of a master high security key, and a digital logic to analyze the information and characteristics of the master key. The sensing device may be configured to capture information about the geometry of features cut into the surface of the master key. The logic may analyze the information related to that geometry and compare it to known characteristics of that style of high security key in order to determine the data needed to replicate the features on a new high security key blank. The system may be configured to capture the surface geometry using a camera or other imaging device. The system may utilize object coating techniques, illumination techniques, filtering techniques, image processing techniques, and feature extraction techniques to capture the desired features.

A high security key scanning system and method is provided. The scanning system may comprise a sensing device configured to determine information and characteristics of a master high security key, and a digital logic to analyze the information and characteristics of the master key. The sensing device may be configured to capture information about the geometry of features cut into the surface of the master key. The logic may analyze the information related to that geometry and compare it to known characteristics of that style of high security key in order to determine the data needed to replicate the features on a new high security key blank. The system may be configured to capture the surface geometry using a camera or other imaging device. The system may utilize object coating techniques, illumination techniques, filtering techniques, image processing techniques, and feature extraction techniques to capture the desired features.

A particle detection method detects presence and location of particles on a target using measured signals from a plurality of structured illumination patterns. The particle detection method uses measured signals obtained by illuminating the target with structured illumination patterns to detect particles. Specifically, the degree of variation in these measured signals in raw images is calculated to determine whether a particle is present on the target at a particular area of interest.