Patent classifications
G06V10/147
System and method for visibility enhancement
A system for visibility enhancement for a motor vehicle assistant system for warning the driver of hazardous situations due to at least one object being located within a critical range defined relative to the motor vehicle includes at least a first sensor means comprising a camera installed in a rear view equipment of the motor vehicle adapted to record at least one image, and an image processing means adapted to receive a first input signal from the first sensor means containing the at least one image and a second input signal containing at least one position profile of the at least one object located within the critical range, and manipulate the at least one image to generate a contrast manipulated image. A corresponding method of visibility enhancement is also described.
Automated Image Acquisition System for Automated Training of Artificial Intelligence Algorithms to Recognize Objects and Their Position and Orientation
The present invention represents an automated system for training a machine learning algorithm for recognizing the position and orientation of objects. Given one or more objects and the corresponding three-dimensional mathematical model(s), the proposed system acquires, in an automated manner, images of the one or more objects under examination and generates, again in an automated manner, the parameters of a machine learning algorithm for recognising the objects for which training has been done. The system proposed in the present innovation comprises at least one optical image acquisition system, at least one mechanical system for moving the optical image acquisition system, or the object under examination, or both, to arbitrary positions in three-dimensional space, at least one screen (or other system) capable of generating arbitrary images, at least one electronic system, and at least one software system for controlling the optical image acquisition system, the mechanical positioning system, and for computing the weights of the neural network used for automatic recognition of the object for which the training has been done.
APPARATUS FOR DETECTING A SPECULAR SURFACE IN A SCENE AND METHOD FOR CONTROLLING AN APPARATUS FOR DETECTING A SPECULAR SURFACE IN A SCENE
An apparatus for detecting a specular surface in a scene is provided. The apparatus includes an illumination device configured to emit polarized light towards the scene. The apparatus further includes an imaging system configured to capture a first image of the scene based on light emanating from the scene. The light emanating from the scene includes one or more reflection of the emitted polarized light. The imaging system is further configured to capture a second image of the scene based on filtered light. The apparatus further includes a polarization filter configured to generate the filtered light by filtering the light emanating from the scene. The apparatus further includes processing circuitry configured to determine presence of the specular surface in the scene based on a comparison of the first image and the second image.
APPARATUS AND METHOD FOR ESTIMATING BIO-INFORMATION, AND OPTICAL SENSOR
An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group
APPARATUS AND METHOD FOR ESTIMATING BIO-INFORMATION, AND OPTICAL SENSOR
An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group
Display apparatus and method of driving the same
A display apparatus includes an optical module, a display panel and a display panel driver. The display panel is disposed on the optical module. The display panel driver is configured to drive the display panel. The display panel includes a first display area including at least a portion overlapping with the optical module and a second display area not overlapping with the optical module in a plan view. The first display area includes pixels having a first pixel structure. The second display area includes pixels having a second pixel structure different from the first pixel structure.
Method and device for analyzing the interaction between a surface of a sample and a liquid
A method for analyzing an interaction between a sample surface and a drop of liquid comprises applying the drop of liquid to the sample surface and illuminating the drop of liquid using at least two light sources. The at least two light sources are each arranged at a light source position surrounding the drop of liquid. Light reflected from the drop of liquid detecting and a sensor position on a sensor of a camera is determined for each detected light reflection. Light source positions are assigned to individual light source positions. A position of the drop of liquid is calculated relative to the sensor and an item of size information of the drop of liquid is determined. The position and the item of size information are calculated from the pairs of one sensor position and one associated light source position.
Detection device
According to an aspect, a detection device includes: a substrate; a plurality of photodiodes arranged on the substrate; a light source configured to emit light to an object to be detected; a detection circuit configured to detect first detection signals based on reverse bias currents of the photodiodes when the light source is off, and to detect second detection signals based on the reverse bias currents of the photodiodes when the light source is on; and a memory configured to store first imaging data based on the first detection signals when the light source is off, second imaging data based on the second detection signals when the light source is on, and difference data between the first imaging data and the second imaging data.
Detection device
According to an aspect, a detection device includes: a substrate; a plurality of photodiodes arranged on the substrate; a light source configured to emit light to an object to be detected; a detection circuit configured to detect first detection signals based on reverse bias currents of the photodiodes when the light source is off, and to detect second detection signals based on the reverse bias currents of the photodiodes when the light source is on; and a memory configured to store first imaging data based on the first detection signals when the light source is off, second imaging data based on the second detection signals when the light source is on, and difference data between the first imaging data and the second imaging data.
SPOOF DETECTION BASED ON SPECULAR AND DIFFUSE REFLECTIONS
The present invention relates biometric authentication using an optical biometric arrangement comprising an image sensor comprising a photodetector pixel array configured to capture an image of an object, the image sensor being arranged under a controllable light source comprising light source units, the method comprising: providing a light pattern comprising portions of different light intensity for illuminating the object; acquiring an image of the object, the image comprising image portions corresponding to the portions of different light intensity of the light pattern illuminating the object, at least one image portion being captured by pixels in he photodetector pixel array arranged directly under a light source unit being active during image acquisition, and at least one image portion being captured by pixels in the photodetector pixel array arranged under an at least partly in-active illumination area of the controllable light source during image acquisition, performing biometric authentication at least partly based on metrics extracted from the image portions.