Patent classifications
G06V10/145
Head-mounted display device and operating method of the same
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.
Fingerprint detection apparatus and electronic device
A fingerprint detection apparatus includes a plurality of fingerprint detection units distributed in an array or disposed alternately, and each of the plurality of fingerprint detection units includes: one micro-lens configured to be disposed under the display screen; a plurality of optical sensing pixels, a center position of a photosensitive region of each of the plurality of optical sensing pixels being offset relative to a center position of the same optical sensing pixel; and at least one light shielding layer disposed between the one micro-lens and the plurality of optical sensing pixels, each of the at least one light shielding layer being provided with a hole corresponding to the plurality of optical sensing pixels. By offsetting photosensitive regions of the optical sensing pixels, the thickness of an optical fingerprint module can be reduced on the basis of improving a fingerprint identification effect on a dry finger.
Fingerprint detection apparatus and electronic device
A fingerprint detection apparatus includes a plurality of fingerprint detection units distributed in an array or disposed alternately, and each of the plurality of fingerprint detection units includes: one micro-lens configured to be disposed under the display screen; a plurality of optical sensing pixels, a center position of a photosensitive region of each of the plurality of optical sensing pixels being offset relative to a center position of the same optical sensing pixel; and at least one light shielding layer disposed between the one micro-lens and the plurality of optical sensing pixels, each of the at least one light shielding layer being provided with a hole corresponding to the plurality of optical sensing pixels. By offsetting photosensitive regions of the optical sensing pixels, the thickness of an optical fingerprint module can be reduced on the basis of improving a fingerprint identification effect on a dry finger.
Display panel comprising light shielding member on side of optical layer and display device having the same
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.
System for detecting surface type of object and artificial neural network-based method for detecting surface type of object
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.
System for detecting surface type of object and artificial neural network-based method for detecting surface type of object
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.
Ambient light suppression
According to an aspect, there is provided a system (200) comprising: an image projection unit (210) configured to project an illumination pattern onto at least a portion of a scene, an imaging unit (220) configured to capture a plurality of images of the scene while the illumination pattern is projected onto the scene, and a processing unit (230) configured to: demodulate the plurality of images based on the illumination pattern and with respect to a target section in the plurality of captured images, wherein the target section corresponds to one of: a portion of the scene on which the illumination pattern is selectively projected while the plurality of images were captured, a portion of the scene at which the projected illumination pattern is resolvable, a portion of the scene with pixel depth values which satisfy a predetermined range; and generate an ambient light suppressed image of the scene based on results of the demodulation.
Ambient light suppression
According to an aspect, there is provided a system (200) comprising: an image projection unit (210) configured to project an illumination pattern onto at least a portion of a scene, an imaging unit (220) configured to capture a plurality of images of the scene while the illumination pattern is projected onto the scene, and a processing unit (230) configured to: demodulate the plurality of images based on the illumination pattern and with respect to a target section in the plurality of captured images, wherein the target section corresponds to one of: a portion of the scene on which the illumination pattern is selectively projected while the plurality of images were captured, a portion of the scene at which the projected illumination pattern is resolvable, a portion of the scene with pixel depth values which satisfy a predetermined range; and generate an ambient light suppressed image of the scene based on results of the demodulation.
Arrangement and method for processing security documents
An arrangement for processing of value documents at a preparation station, prior to their processing by means of a value document processing apparatus, involves inserting the value documents into a container divided into several storage regions. The value documents of the respective deposit are removed at the preparation station from delivery containers which respectively include a unique deposit identification. A monitoring device automatically captures into which storage region of the value document container the value documents are inserted. A protocol device connected to the monitoring device links the respective deposit identification to the container identification and to the respective storage region identification and transmits this linking information to a control device or to an accounting device, which assigns the value documents present in the respective storage region of the respective value document container to the respective deposit with the aid of the linking information transmitted by the protocol device.
Arrangement and method for processing security documents
An arrangement for processing of value documents at a preparation station, prior to their processing by means of a value document processing apparatus, involves inserting the value documents into a container divided into several storage regions. The value documents of the respective deposit are removed at the preparation station from delivery containers which respectively include a unique deposit identification. A monitoring device automatically captures into which storage region of the value document container the value documents are inserted. A protocol device connected to the monitoring device links the respective deposit identification to the container identification and to the respective storage region identification and transmits this linking information to a control device or to an accounting device, which assigns the value documents present in the respective storage region of the respective value document container to the respective deposit with the aid of the linking information transmitted by the protocol device.