Disclosed is a near-infrared imaging optode (200) and associated system and method for transmitting near-infrared radiation into and/or receiving near-infrared radiation from a subjects head. The optode (200) comprises a plurality of resilient optical fibres (201) arranged to transmit and/or receive corresponding near-infrared radiation. The plurality of optical fibres (201) each comprise a distal end (203) arranged to make contact with a subjects head. The distal ends (203) of the plurality of optical fibres (201) are movable relative to each other.

Disclosed is a near-infrared imaging optode (200) and associated system and method for transmitting near-infrared radiation into and/or receiving near-infrared radiation from a subjects head. The optode (200) comprises a plurality of resilient optical fibres (201) arranged to transmit and/or receive corresponding near-infrared radiation. The plurality of optical fibres (201) each comprise a distal end (203) arranged to make contact with a subjects head. The distal ends (203) of the plurality of optical fibres (201) are movable relative to each other.

A laser speckle contrast imaging system includes a laser beam, configured to emit an object; an image capturing module, configured to capture an image data of the object; and a processing unit, coupled to the laser beam and the image capturing module, configured to generate a first image and a second image corresponding to the laser beam according to the image data, and to perform an auto-tracking function for an interest of region (ROI) of the second image and update the second image according to an auto-tracking result of the ROI.

A laser speckle contrast imaging system includes a laser beam, configured to emit an object; an image capturing module, configured to capture an image data of the object; and a processing unit, coupled to the laser beam and the image capturing module, configured to generate a first image and a second image corresponding to the laser beam according to the image data, and to perform an auto-tracking function for an interest of region (ROI) of the second image and update the second image according to an auto-tracking result of the ROI.

A method of operating an optical system is described. An image is detected. A digital image signal based on a spatially varying luminance level of the detected image is received. Horizon data, separate from the digital image signal, indicating the position of a horizon where a sky is adjacent the horizon, is received. The position of the horizon is determined based on the received horizon data. A fused image signal is provided based on the received digital image signal and the determined position of the horizon where a sky region indicative of the sky is provided with an enhanced color fused with the varying luminance level of the detected image. A full color display displays a fused image based on the fused image signal. A corresponding optical system is also described.

An illustrative example sensor device includes a plurality of range finders that each have an emitter configured to emit a selected type of radiation and a detector configured to detect the selected type of radiation reflected from an object. A plurality of cameras are configured to generate an image of an object based upon receiving the selected type of radiation from the object. A processor is configured to determine a distance between the sensor device and an object based on at least two of the images, wherein the images are each from a different camera.

A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications.

A method for locating a golf ball including changing a temperature of a golf ball from a first temperature to a second temperature before use or marking the ball by reflective (mirror) or fluorescent material (e.g., NIR-IR fluorescent dye). The temperature changed ball is struck. Using either a thermal imaging camera with an imaging processing unit or a near-infrared (NIR) imaging camera with an imaging processing unit to produce a digital image of a part of the golf course with a potential golf ball location. An image processing technique is applied to produce an enhanced image of the golf ball location. A thermal imaging camera and a NIR imaging camera for locating a golf ball are described. A non-transitory computer readable media is described.

A system for a vehicle may comprise a rearview assembly comprising a display element configured for providing a rearward view of a scene behind the vehicle, at least one imaging device in communication with the display element and configured to capture images from within a passenger compartment of the vehicle, and a printed circuit board in communication with the display element and the at least one imaging device. The display element may be configured to selectively display content received from a source external to the vehicle. The display element may be suitable for receiving inputs from a plurality of sources. At least one of the plurality of sources may be one of the internet and a cellular network.

In general, the disclosure describes techniques for joint spatiotemporal Artificial Intelligence (AI) models that can encompass multiple space and time resolutions through self-supervised learning. In an example, a method includes for each of a plurality of multimodal data, generating, by a computing system, using a first machine learning model, a respective modality feature vector representative of content of the multimodal data, wherein each of the generated modality feature vectors has a different modality; processing, by the computing system, each of generated modality feature vectors with a second machine learning model comprising an encoder model to generate event data comprising a plurality of events and/or activities of interest; and analyzing, by the computing system, the event data to generate anomaly data indicative of detected anomalies in the multimodal data.