The disclosure discloses a mobile photoelectric detection and identification system for low, slow and small targets. The optical detection subsystem and the photoelectric parallel processing and identification subsystem are arranged on the servo subsystem, and the servo subsystem is carried on an installation platform of a vehicle. The optical detection subsystem is configured to collect multi-wavelength band optical information from the target and the background. The co-processing module of various wavelength bands is configured to perform single-frame detection and identification of the target from the image information of the corresponding wavelength band. The information processing main control module is configured to use JPEG image compression, track association and multi-frame combining methods to perform a multi-frame detection and identification on the target. The servo subsystem is configured to complete target tracking according to the multi-frame detection and identification results.

An information processing apparatus includes: an information receiver configured to receive imaging data output from an imaging device; and a processing unit configured to generate a color image based on the received imaging data and control a display device to display the generated color image. The processing unit generates a detection frame constituted as plural regions based on the imaging data, controls the display device to display the generated detection frame as being superimposed on the color image, and displays a temperature for each of the plural regions.

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

A computer assisted system is disclosed that includes an optical tracking system and one or more computing devices. The optical tracking system includes an RGB sensor and is configured to capture color images of an environment in the visible light spectrum and tracking images of fiducials in the environment in a near-infrared spectrum. The computer assisted system is configured to generate a color image of the environment using the color images, identify fiducial locations using the tracking images, generate depth maps from the color images, reconstruct three-dimensional surfaces of structures based on the depth maps, and output a display comprising the reconstructed three-dimensional surface and one or more surgical objects that are associated with the tracked fiducials. The computer assisted system can further include a monitor or a head-mounted display (HMD) configured to present augmented reality (AR) images during a procedure.

A respiratory pressure therapy system for providing continuous positive air pressure to a patient via a patient interface configured to engage with at least one airway of the patient. The system includes: a flow generator configured to generate supply of breathable gas for delivery to the patient via the patient interface; at least one sensor; a display; and a computing device. The computing device is configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas; receive, an input indicating assistance is needed with using the patient interface; receive one or more images of the patient with the patient interface; analyse the received one or more images; and based on the analysis, display instructions for positioning the patient interface.

Systems and techniques are provided for processing images. For example, a process can include obtaining a first color image including first one or more pixels from a first image sensor and obtaining a second color image including second one or more pixels from a second sensor, the second color image including infrared (IR) information from a second image sensor. The process can include determining a transformation between colors associated with the first one or more pixels and colors associated with the second one or more pixels based on a comparison associated with the first one or more pixels and the second one or more pixels. The process can include generating a color corrected image at least in part by transforming the second color image including IR information to a color corrected image based on the determined transformation.

An image processing device includes: a light emitting unit that emits a near-infrared ray to a target; a light emission controlling unit that controls a light emission amount of the light emitting unit on a basis of a distance value between the target and the light emitting unit; and a detecting unit that detects a feature point on the basis of a captured image of the target irradiated with the near-infrared ray.

A method and a system are disclosed for detecting the features of a water layer in layered enclosures of single unit dose products. Thanks to the method and the system of the invention, the layered enclosures may be manufactured to higher specifications and quality owing to real time control of the features of the water layer between the enclosure layers. The technical advantage of the method of the invention consists in the possibility to detect the features after formation of the layered enclosure is complete—hence inspecting the finished product—and to feed back the detected information to the very water laying device for a real time adjustment of the features of the water layer at the areas where acceptance criteria are not met.

This application provides an image sensor (702) and image light sensing method. The image sensor (702) includes a red pixel (R), a green pixel (G), a blue pixel (B), and an invisible light pixel, where the red pixel (R), the green pixel (G), and the blue pixel (B) are large pixels, the invisible light pixel is a small pixel, and a light sensing area of the large pixel is greater than that of the small pixel. The red pixel (R), the green pixel (G), and the blue pixel (B) are arranged in a Bayer format. In this application, when color information is sufficient, light crosstalk caused by the small pixel to the large pixel can be reduced, and therefore a signal-to-noise ratio of the large pixel can be improved.

A sensing and computing system and method for capturing images and data regarding an object and calculating one or more parameters regarding the object using an internal, integrated CPU/GPU. The system comprises an imaging system, including a depth imaging system, color camera, and light source, that capture images of the object and sends data or signals relating to the images to the CPU/GPU, which performs calculations based on those signals/data according to pre-programmed algorithms to determine the parameters. The CPU/GPU and imaging system are contained within a protective housing. The CPU/GPU transmits information regarding the parameters, rather than raw data/signals, to one or more external devices to perform tasks in an industrial environment related to the object imaged.