A control system having one or more controllers configured to determine physical or psychophysiological (3P) changes of an operator of a vehicle. First and second imaging devices take real-time images of an operator of a vehicle. Then, based on the physical, physiological and/or psychological features extracted from the imaging device data, and a 3P model from historical data the one or more processors also configured to, responsive to the physical, physiological and/or psychological changes of the operator of the vehicle, alert the operator and control the operation of the vehicle.

An image processing system according to an aspect of the invention includes: an optical sensor including: an optical member configured to refract light from a subject, the optical member including a plurality of transmissive units that have different optical properties, thus forming different refraction patterns of light that passes therethrough; and a plurality of image sensors configured to receive light that has passed through the transmissive units and to form captured images in which the subject appears; and an information processing apparatus configured to calculate attribute information representing an attribute of the subject by inputting the captured images obtained by the image sensors to a learning device that has learned the attribute of the subject.

The present technology improves the image quality of a synthesized image in a device that synthesizes a plurality of images. Disclosed is an image processing device that includes a detection section, a synthesis ratio generation section, and a synthesis section. The detection section detects whether a light source has blinked during an exposure period of a detection target image among a plurality of images captured in chronological order, and outputs a detection result. In a case where the detection result indicates that the light source has blinked, the synthesis ratio generation section generates a synthesis ratio for making the percentage of the detection target image lower than the percentage of an image other than the detection target images. The synthesis section synthesizes the plurality of images at the synthesis ratio.

A solid-state imaging apparatus and an electronic device that are capable of improving a use efficiency of incident light while avoiding overlap of incident light among adjacent solid-state imaging devices are provided. A solid-state imaging apparatus that includes plural pixels arranged in a matrix shape on an imaging device surface, and each of the pixels includes at least one solid-state imaging device; and at least one light guiding unit that is arranged on a subject side of the solid-state imaging device, and the light guiding unit includes a first transparent body; a first lens group having a positive optical power; a light shielding unit having an opening portion; and a second lens group having a positive optical power, sequentially toward a solid-state imaging device side from the subject side along a light guiding direction of the light guiding unit is provided.

Described herein is an object recognition system in low illumination conditions. A 3D InIm system can be trained in the low illumination levels to classify 3D objects obtained under low illumination conditions. Regions of interest obtained from 3D reconstructed images are obtained by de-noising the 3D reconstructed image using total-variation regularization using an augmented Lagrange approach followed by face detection. The regions of interest are then inputted into a trained CNN. The CNN can be trained using 3D InIm reconstructed under low illumination after TV-denoising. The elemental images were obtained under various low illumination conditions having different SNRs. The CNN can effectively recognize the 3D reconstructed faces after TV-denoising.

A captured image obtaining unit 50 of an output control device 10 obtains a captured image such as a polarization image from an imaging device 12. A space information obtaining unit 54 obtains a normal line and a position of a surface of an actual object in a space and a sound absorption coefficient at the surface. A correction coefficient obtaining unit 56 calculates energy of sound reaching a listener including sound reflected at the actual object and obtains a correction coefficient to be given to a level of a sound signal on the basis of the sound energy. An output unit 60 adjusts the sound signals by using the correction coefficient 62 and outputs the adjusted sound signals to speakers 16a and 16b.

The embodiments of the present disclosure disclose a display device and a method for attaching a fingerprint module. The display device comprises: a display panel, a fingerprint module and a functional flexible circuit board (FPC); a glue film is attached to a side of the display panel away from a light emitting surface, and an opening area is provided in the glue film, the functional FPC is attached to the side of the display panel away from the light emitting surface with the glue film; the fingerprint module is disposed on a side of the functional FPC close to the display panel, and the fingerprint module is embedded in the opening area of the glue film.

A line detector apparatus and method on a vehicle for detecting a line on a road with a higher degree of accuracy. The vehicle includes front, right-side and left-side image capturing sensors mounted on a vehicle and respectively capture an image, including a road surface, at the front and right and left sides of the vehicle to respectively generate front, right-side and left-side images. The line detector includes a processor that calculates a line on a road as a first line from the front image, the line on the road as a second line from the right-side image, and the line on the road as a third line from the left-side image. The processor selects one of multiple mutually-different algorithms based on the first to third lines, and calculates the line on the road based on the first to third lines by using the selected algorithm.

Disclosed in the present application is a fingerprint module, applied to an electronic device including a screen and a fingerprint module. The fingerprint module is provided below a preset area of the screen. The screen is provided with a first polarizer. The fingerprint module includes a collimating lens and an optical fingerprint sensor, and the collimating lens is provided on the side of the optical fingerprint sensor close to the screen. The collimating lens is provided with a second polarizer, and polarization directions of the first polarizer and the second polarizer are consistent. The first polarizer and the second polarizer are configured to filter first light, and the first light is light, among light emitted from the screen in a first direction, reflected by the screen. The second polarizer is configured to filter the second light, and the second light is light emitted from the screen in a second direction.

The method comprises: obtaining a first image collected by a long-focus camera, a second image collected by a short-focus camera, and positioning information and travelling direction of the autonomous vehicle collected by a positioning sensor at a target moment; according to the positioning information and traveling direction of the autonomous vehicle at the target moment, obtaining, from a high-precision map server, location information of traffic lights within a range of preset distance threshold ahead in the traveling direction of the autonomous vehicle at the target moment; recognizing the state of traffic lights at the target moment, according to the location information of the traffic lights at the target moment, and one image of the first image and second image.