At least some example embodiments provide a fingerprint sensor, a fingerprint sensor package, and a fingerprint sensing system using light sources of a display panel. The fingerprint sensor includes an image sensor including a plurality of sensor pixels, the sensor pixels configured to sense light reflected by a fingerprint and generate image information corresponding to the fingerprint and a pinhole mask defining a plurality of pinholes, wherein each of the pinholes forms a focus for transmitting the light reflected by the fingerprint to the image sensor, wherein light is emitted from a plurality of organic light-emitting diodes (OLEDs) and is reflected by the fingerprint.

A method and system for predicting complex electric field images with a parameterized model are described. A latent space representation of a complex electric field image is determined based on dimensional data in a latent space of the parameterized model for a given input to the parameterized model. The given input may be a measured amplitude (e.g., intensity) associated with the complex electric field image. The complex electric field image is predicted based on the latent space representation of the complex electric field image. The predicted complex electric field image includes an amplitude and a phase. The parameterized model comprises encoder-decoder architecture. In some embodiments, determining the latent space representation of the electric field image comprises minimizing a function constrained by a set of electric field images that could be predicted by the parameterized model based on the dimensional data in the latent space and the given input.

A display panel and a display device are provided. The display panel includes a substrate an array layer on the substrate; a display layer located on a side of the array layer away from the substrate, wherein the display layer includes a plurality of light-emitting devices; an optical layer located on a side of the display layer away from the array layer, wherein the optical layer includes a first optical structure, and the first optical structure is arranged corresponding to intervals between the plurality of light-emitting devices; and a first light-shielding member located on a side of the optical layer facing the substrate, wherein the first light-shielding member forms a light pass opening, and the light pass opening and the first optical structure overlap each other.

Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.

Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.

An eye monitoring system is included in a headset of a virtual reality system or of an augmented reality system. The eye monitoring system determines distances between the eye monitoring system and portions of a user's eye enclosed by the headset. The eye monitoring system projects a temporally periodic pattern of light onto the user's eye via a sensor. The eye monitoring system determines a distance between the eye monitoring system and locations of the user's eye based on a phase shift of the periodic pattern of light captured by each pixel of the sensor. From the determined distances, the eye monitoring system determines features of the user's eye.

A device for determining a face of a dice resting on a surface allowing an optical signal to pass, the dice being composed of a plurality of faces each including a visual marking uniquely identifying the face, and the device including: illumination means for illuminating a face of a dice through the surface, the illumination means being placed under the surface and oriented in the direction of the surface, the illumination means including a plurality of optical signal sources disposed at various positions under the surface; means for acquiring at least one image of the optical signals reflected by the face of the dice resting on the surface, the acquisition means being placed under the surface and being facing the surface; and an analysis unit including means for processing the image to determine the face of the dice resting on the surface allowing the optical signal to pass.

Disclosed are a face image and iris image acquisition method and device, a computer-readable readable storage medium and an apparatus. The method includes rotating the first tripod head to force the face lens and the iris lens to be in acquisition positions; capturing a first face image and a first iris image simultaneously by the face lens and the iris lens; and locating the iris in the first iris image, and if no iris is located, determining whether a condition of light-avoiding rotation is satisfied, and if the condition is satisfied, rotating the second tripod head to adjust an angle or a position of the supplementary light source to enable a light spot region to avoid an iris region.

Disclosed are a face image and iris image acquisition method and device, a computer-readable readable storage medium and an apparatus. The method includes rotating the first tripod head to force the face lens and the iris lens to be in acquisition positions; capturing a first face image and a first iris image simultaneously by the face lens and the iris lens; and locating the iris in the first iris image, and if no iris is located, determining whether a condition of light-avoiding rotation is satisfied, and if the condition is satisfied, rotating the second tripod head to adjust an angle or a position of the supplementary light source to enable a light spot region to avoid an iris region.

A rearview assembly includes an electrochromic element. The electrochromic element includes a first substrate including a first surface and a second surface. The electrochromic element further includes a second substrate comprising a third surface and a fourth surface. The first substrate and the second substrate form a cavity. The electrochromic element includes an electrochromic medium contained in the cavity. The rearview assembly includes an image sensor directed toward the fourth surface and configured to capture near-infrared light reflected from an object and projected through the electrochromic element. The rearview assembly includes a transflective film disposed adjacent to the fourth surface having a near-infrared light transmission level and a visible light reflectance level.