Provided are computer-implemented technologies of authenticating documents. The technologies use a set of photo images (or videos), taken under a certain illumination condition and from a set of distinct tilting angles, on one or more security/ID features of one or more documents of a document genre whose authenticity is ascertained, to train an Artificial Intelligence (AI) machine learning program to build a learned model. The learned model, through the said training, attains a set of angular responses of the document genre under the illumination condition which encode a set of descriptive information about each of the one or more security/ID features of the document genre under the illumination condition. The learned model, then, is applied to authenticate, one by one, a number of target documents of the document genre whose authenticity is unknown and to be determined.

Provided are computer-implemented technologies of authenticating documents. The technologies use a set of photo images (or videos), taken under a certain illumination condition and from a set of distinct tilting angles, on one or more security/ID features of one or more documents of a document genre whose authenticity is ascertained, to train an Artificial Intelligence (AI) machine learning program to build a learned model. The learned model, through the said training, attains a set of angular responses of the document genre under the illumination condition which encode a set of descriptive information about each of the one or more security/ID features of the document genre under the illumination condition. The learned model, then, is applied to authenticate, one by one, a number of target documents of the document genre whose authenticity is unknown and to be determined.

An object detection system and method includes: an optical image sensor arranged to perform the following steps: capturing a calibration image during a calibration stage, dividing the calibration image into a plurality of quadrants, and calculating a parameter for each of the quadrants; capturing a plurality of raw images during a detection stage, dividing each image of the raw images into a plurality of quadrants, and calculating a parameter for each of the quadrants; comparing the respective parameters of each quadrant of a raw image with the respective parameters of each quadrant of the calibration image to generate a ratio value for each quadrant; and comparing the ratio value of each quadrant with a predetermined threshold. When each ratio value of specific quadrants of the quadrants is greater than the predetermined threshold, object detection is confirmed.

An object detection system and method includes: an optical image sensor arranged to perform the following steps: capturing a calibration image during a calibration stage, dividing the calibration image into a plurality of quadrants, and calculating a parameter for each of the quadrants; capturing a plurality of raw images during a detection stage, dividing each image of the raw images into a plurality of quadrants, and calculating a parameter for each of the quadrants; comparing the respective parameters of each quadrant of a raw image with the respective parameters of each quadrant of the calibration image to generate a ratio value for each quadrant; and comparing the ratio value of each quadrant with a predetermined threshold. When each ratio value of specific quadrants of the quadrants is greater than the predetermined threshold, object detection is confirmed.

An apparatus includes a display screen that includes OLED pixels disposed at a particular pitch in a first plane. A light projector includes light emitting elements disposed in a second plane parallel to the first plane. The light emitting elements are disposed at the same pitch as the OLED pixels or at an integer multiple of the pitch of the plurality of OLED pixels. The light emitting elements are operable to produce light at a wavelength for transmission through the display screen, and the first and second planes are separated from one another by a distance D such that d.sup.2=2*()*(D)/(N), where d is the pitch of the OLED pixels, is the wavelength, and N is a positive integer.

An apparatus includes a display screen that includes OLED pixels disposed at a particular pitch in a first plane. A light projector includes light emitting elements disposed in a second plane parallel to the first plane. The light emitting elements are disposed at the same pitch as the OLED pixels or at an integer multiple of the pitch of the plurality of OLED pixels. The light emitting elements are operable to produce light at a wavelength for transmission through the display screen, and the first and second planes are separated from one another by a distance D such that d.sup.2=2*()*(D)/(N), where d is the pitch of the OLED pixels, is the wavelength, and N is a positive integer.

An apparatus for recognizing an object of a vehicle using pattern recognition includes a first lamp including: a first optical device configured to generate light of a first pattern and irradiate the light of the first pattern to an object according to a predetermined cycle, and a second optical device configured to generate light of a second pattern and irradiate the light of the second pattern to the object. The apparatus further includes: a camera configured to recognize the first pattern irradiated to the object when the light of the first pattern is irradiated, and a control unit configured to acquire object recognition information of the object based on the first pattern recognized by the camera.

Wearable coherent light sensing systems and methods are disclosed. In one implementation, a system may include a wearable coherent light source configured to direct light towards a facial area; a wearable sensor configured to receive light source reflections and to output associated reflection signals; and a processor operable in an idle mode and in a high power mode. In the idle mode, the processor is configured to receive the reflection signals, process the reflection signals to identify trigger in the reflection signals, and automatically switch to the high power mode upon identification of the trigger. In the high power mode, the processor is configured to analyze the reflection signals to identify facial movements associated with silent speech. Following the identification of the facial movements associated with the silent speech, the processor is configured to decipher the facial movements and generate an output associated with the silent speech.

A display includes a stack that includes, from top to bottom: a display layer including an array of spaced pixels and/or spaced subpixels and an array of spaced transmission spaces, wherein each transmission space is defined by a spacing between a subset of the spaced pixels and/or spaced subpixels; a micro-lens array (MLA) layer including an array of micro-lenses, wherein each micro-lens includes a curved surface in alignment with a corresponding one of the transmission spaces; and a laser light emitting (LLE) layer including an array laser diodes, wherein each laser diode is positioned in alignment with one micro-lens of the MLA layer and the corresponding one of the transmission spaces of the display layer and the curved surfaces of the micro-lenses face the LLE layer.

A detector (110) for determining at least one material property of at least one object (112) is proposed. The detector (110) comprises at least one projector (116) configured for illuminating the object (112) with at least one illumination pattern (118) comprising a plurality of illumination features (120); at least one first camera (122) having at least one first sensor element, wherein the first sensor element has a matrix of first optical sensors, the first optical sensors each having a light-sensitive area, wherein each first optical sensor is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by a reflection light beam propagating from the object (112) to the first camera (122), wherein the first camera (122) is configured for imaging at least one first reflection image comprising a plurality of first reflection features generated by the object (112) in response to illumination by the illumination features (120), wherein the first camera (122) is arranged such that the first reflection image is imaged under a first direction of view to the object (112); at least one second camera (124) having at least one second sensor element, wherein the second sensor element has a matrix of second optical sensors, the second optical sensors each having a light-sensitive area, wherein each second optical sensor is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by a reflection light beam propagating from the object (112) to the second camera (124), wherein the second camera (124) is configured for imaging at least one second reflection image comprising a plurality of second reflection features generated by the object (112) in response to illumination by the illumination feature (120), wherein the second camera (124) is arranged such that the second reflection image is imaged under a second direction of view to the object (112), wherein the first direction of view and the second direction of view differ; at least one evaluation device (126) configured for evaluating the first reflection image and the second reflection image, wherein the evaluation comprises matching the first reflection features and the second reflection features and determining a combined material property of matched pairs of first and second reflection features by analysis of their beam profiles.