A system (100A) to track logs in a wood processing chain, includes a database arrangement (102) that includes pre-recorded image of a given log, wherein the given log is associated with log identification information. The system further includes a plurality of imaging devices implemented at a sorting station. The plurality of imaging devices (104) is configured to capture a first set of images from at least a first prespecified oblique angle. The system further includes a data processing arrangement (106) that is configured to: identify the given log at the sorting station; compare the at least one pre-recorded image with the captured first set of images at the sorting station in order to find an optimum image from the compared images for identification of the given log; determine a plurality of physical characteristics; and append the log identification information with the determined physical characteristics of the given log.

The invention relates to a control device for a driver assistance system, wherein the control device comprises a sensor interface via which the control device can be connected to at least one sensor module to receive data from the at least one sensor module, a power processor which is adapted to detect objects and to provide object data based on the data from the at least one sensor module, and a system interface via which the control device can be connected to a higher-level control device of the driver assistance system for forwarding object data provided by the power processor.

The present disclosure generally pertains to image sensor control circuitry for event-based controlling of an image sensor, the image sensor control circuitry being configured to: obtain events from a plurality of event-based vision elements of an event-based vision sensor; determine event groups based on an event-detection property; and generate an imaging control signal for controlling the imaging elements of the image sensor based on the event groups, for imaging with imaging element groups corresponding to the event groups.

A medical system that includes a shaft having a distal end configured to be positioned at a target site, a first light and a second light positioned at the distal end, and a computing device communicatively coupled to the first and second light. The computing device includes a processor and non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to determine a first illumination measurement of a first region of the target site by the first light and a second illumination measurement of a second region of the target site by the second light. The second region is different than the first region. The processor adjusts emittance from the first light, in response to the first illumination measurement being different than a first threshold, and emittance from the second light in response to the second illumination measurement being different than a second threshold.

A medical system that includes a shaft having a distal end configured to be positioned at a target site, a first light and a second light positioned at the distal end, and a computing device communicatively coupled to the first and second light. The computing device includes a processor and non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to determine a first illumination measurement of a first region of the target site by the first light and a second illumination measurement of a second region of the target site by the second light. The second region is different than the first region. The processor adjusts emittance from the first light, in response to the first illumination measurement being different than a first threshold, and emittance from the second light in response to the second illumination measurement being different than a second threshold.

Image data is obtained that indicates an extent to which one or more objects reflect, scatter, or absorb light at each of multiple wavelength bands, where the image data was collected while a conveyor belt was moving the object(s). The image data is preprocessed by performing an analysis across frequencies and/or performing an analysis across a representation of a spatial dimension. A set of feature values is generated using the image preprocessed image data. A machine-learning model generates an output using to the feature values. A prediction of an identity of a chemical in the one or more objects or a level of one or more chemicals in the object(s) is generated using the output. Data is output indicating the prediction of the identity of the chemical in the object(s) or the level of the one or more chemicals in at least one of the one or more objects.

Image data is obtained that indicates an extent to which one or more objects reflect, scatter, or absorb light at each of multiple wavelength bands, where the image data was collected while a conveyor belt was moving the object(s). The image data is preprocessed by performing an analysis across frequencies and/or performing an analysis across a representation of a spatial dimension. A set of feature values is generated using the image preprocessed image data. A machine-learning model generates an output using to the feature values. A prediction of an identity of a chemical in the one or more objects or a level of one or more chemicals in the object(s) is generated using the output. Data is output indicating the prediction of the identity of the chemical in the object(s) or the level of the one or more chemicals in at least one of the one or more objects.

An image recognition device (image recognition system 100) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) captures a plurality of images at the same exposure start timing in one frame period by using imaging pixels having different sensitivities to generate image data. The recognition unit (14) recognizes a subject from each of the image data. The imaging unit (10) includes a pixel array in which a plurality of imaging pixels having different exposure times, different light transmittances of color filters, or different light receiving areas are two-dimensionally arranged.

An image recognition device (image recognition system 100) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) captures a plurality of images at the same exposure start timing in one frame period by using imaging pixels having different sensitivities to generate image data. The recognition unit (14) recognizes a subject from each of the image data. The imaging unit (10) includes a pixel array in which a plurality of imaging pixels having different exposure times, different light transmittances of color filters, or different light receiving areas are two-dimensionally arranged.

Provided is an electronic device capable of suppressing an influence of internal reflected light in a device. An electronic device is provided with, sequentially from one side to the other side, a first polarizing plate that makes incident light linearly polarized light, a first ¼ wavelength plate a slow axis of which is different from an absorption axis of the first polarizing plate by 45 degrees or 135 degrees, a self-luminous element layer, a second ¼ wavelength plate a slow axis of which is in the same direction as the slow axis of the first ¼ wavelength plate, a second polarizing plate an absorption axis of which is orthogonal to the absorption axis of the first polarizing plate, and an imaging device that images light via the second polarizing plate.