An electronic device includes a base layer, a circuit layer on the base layer, a display element layer on the circuit layer, the display element layer including a pixel defining film having an opening part, and a light emitting element and a light receiving element divided by the pixel defining film, an input detection layer on the display element layer and overlapping the light emitting element, and a liquid crystal member on the display element layer and overlapping the light receiving element.

An apparatus includes a first light source, a second light source, an image sensor circuit, and a processing circuit. The first light source is generally capable of emitting infrared light. The second light source is generally capable of emitting visible light. The image sensor circuit is generally responsive to both the infrared light and the visible light. The processing circuit is generally coupled to the image sensor circuit and configured to generate an image comprising both infrared information and color information.

Disclosed herein are various methods of calibrating relative orientation between imaging sensor and spatial orientation sensor, and relative orientation between imaging sensors.

Disclosed herein are various methods of calibrating relative orientation between imaging sensor and spatial orientation sensor, and relative orientation between imaging sensors.

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 optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

An optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

An example device may include a light source, an optical element, and, optionally, an encapsulant layer. A light beam generated by the light source may be received by the optical element and redirected towards an illumination target, such as an eye of a user. The optical element may include a material, for example, with a refractive index of at least approximately 2 at a wavelength of the light beam. The light source may be a semiconductor light source, such as a light-emitting diode or a laser. The optical element may be supported by an emissive surface of the light source. Refraction at an exit surface of the optical element, and/or within a metamaterial layer, may advantageously modify the beam properties, for example, in relation to illuminating a target. In some examples, the light source and optical element may be integrated into a monolithic light source module.

This disclosure relates to systems and methods of obtaining accurate motion and orientation estimates for a vehicle traveling at high speed based on images of a road surface. A purpose of these systems and methods is to provide a supplementary or alternative means of locating a vehicle on a map, particularly in cases where other locationing approaches (e.g., GPS) are unreliable or unavailable.