Systems and methods based on thermal imaging for rapid detection of fever conditions in humans that provide for extremely inexpensive, mass producible, field deployable devices accurate in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. The system may include a thermal imager tailored for the application and a corresponding mass producible controlled temperature calibration source configured to provide real time calibration near the human body temperature of interest. The imager and source are deployed in a way such that target people and the calibration source will be within the imager FOV for fever detection. The combination of real time near measurement temperature calibration, with suitable thermography approaches, yield fast, accurate measurements in the fever range using low cost, easy-to-produce components. In combination with a visible imager and pattern/facial recognition techniques, detection of a human target's facial regions of interest suitable for fever detection can be accurately accomplished.

Systems and methods based on thermal imaging for rapid detection of fever conditions in humans that provide for extremely inexpensive, mass producible, field deployable devices accurate in specific, relatively low temperature ranges, and in particular temperatures near nominal human body temperature. The system may include a thermal imager tailored for the application and a corresponding mass producible controlled temperature calibration source configured to provide real time calibration near the human body temperature of interest. The imager and source are deployed in a way such that target people and the calibration source will be within the imager FOV for fever detection. The combination of real time near measurement temperature calibration, with suitable thermography approaches, yield fast, accurate measurements in the fever range using low cost, easy-to-produce components. In combination with a visible imager and pattern/facial recognition techniques, detection of a human target's facial regions of interest suitable for fever detection can be accurately accomplished.

Embodiments of the invention provide an apparatus for detecting a state of a road surface. The apparatus includes an input interface, an image divider, a parameter calculator, and a classifier. The input interface is configured to obtain recording information of the road surface, such as a camera recording. The image divider is configured to divide the recording information into a plurality of windows, wherein each window includes a plurality of image elements, and wherein each image element includes at least two different pieces of information, such as a spectral absorption of the road surface and/or a polarization of the reflected light. The parameter calculator is configured to calculate at least two parameters per window by using the at least two different pieces of information of each image element in the window. The classifier is configured to classify the window on the basis of a tuple of the at least two parameters of the window, and to detect, on the basis of the tuple of the at least two parameters of the window, as input values a state of the window and to output the state of the window as an output value.

Provided are a medical image processing apparatus, a medical image processing method, a program, and a diagnosis support apparatus that report a region of interest without hindering observation of the boundary between the region of interest and a region of non-interest in a medical image. A medical image processing apparatus includes a superimposition processing unit that superimposes, on a medical image, a figure for reporting a region of interest included in the medical image. The superimposition processing unit superimposes the figure on an inside of the region of interest such that at least part of a boundary between the region of interest and a region of non-interest is not superimposed with the figure, thereby reporting the region of interest without hindering observation of the boundary between the region of interest and the region of non-interest.

According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising an image data source storing image data from a plurality of images; a height map source storing height maps for an area of interest (AOI); a building footprint module; a memory; and a building footprint processor, operative to execute the program instructions to: receive image data for an AOI; receive a height map for the AOI; execute a building segmentation module to generate a building mask that indicates a presence of one or more buildings in the AOI; apply at least one clean mask process to the generated building mask to generate a clean mask; receive the clean mask at an instance building segmentation module; and execute the instance building segmentation module to generate at least one building footprint based on the clean mask and the received image data. Numerous other aspects are provided.

Various embodiments of the present disclosure provide systems and methods for classifying and evaluating an electronic object based at least in part on terahertz (THz) data. THz data may comprise time-domain THz data collected via THz time domain spectroscopy of the electronic object. THz data may further comprise frequency-domain THz data, which may be generated based at least in part on the time-domain THz data. A unique THz fingerprint may be generated for the electronic object based at least in part on the THz data. This unique THz fingerprint may be compared to an earlier generated THz fingerprint of the same electronic object to evaluate reliability and consistency. The unique THz fingerprint may also be compared to THz fingerprints or THz data of other electronic objects of the same object type, class, design, and/or the like, to validate the electronic object (e.g., determine if the electronic object is counterfeit).

The present disclosure provides for ultrasound systems and methods to pre-process ultrasound data to distinguish abnormal tissue from normal tissue. An exemplary method can include receiving a set of ultrasound data and partitioning the set into a set of windows. The method can then provide for processing the set of windows to determine a power spectrum for each window. The power spectrum for each window can be processed to determine a normalized power spectrum for each window. This normalized power spectrum can be processed for each window with a machine learning model. The method can then provide for displaying an image where each window of the set of windows is displayed using a unique identifier based on the output of the machine learning model.

The present disclosure provides for ultrasound systems and methods to pre-process ultrasound data to distinguish abnormal tissue from normal tissue. An exemplary method can include receiving a set of ultrasound data and partitioning the set into a set of windows. The method can then provide for processing the set of windows to determine a power spectrum for each window. The power spectrum for each window can be processed to determine a normalized power spectrum for each window. This normalized power spectrum can be processed for each window with a machine learning model. The method can then provide for displaying an image where each window of the set of windows is displayed using a unique identifier based on the output of the machine learning model.

A surgical navigation system includes a first tracking unit, a second tracking unit and a processing unit. The first tracking unit captures a first infrared image of a position identification unit that includes a reference target fixed on a patient and an instrument target disposed on a surgical instrument. The second tracking unit captures a second infrared image of the position identification unit. The processing unit performs image recognition on the first and second infrared images with respect to the position identification unit, and uses, based on a result of the image recognition, a pathological image and one of the first and second infrared images to generate an augmented reality image. When both the first and second images have both the reference target and the instrument target, one of the first image and the second image with a higher accuracy is used to generate the augmented reality image.

A method is applied to an electronic device. After detecting a fingerprint event, a fingerprint driver directly transmits the fingerprint event to a display driver, and the display driver further controls a display to display a first light spot based on preset first-light-spot display data. According to this solution, no layer for light spot display needs to be rendered at a logic display layer, sparing the need of reporting a fingerprint event layer by layer to the fingerprint service and then delivering light spot display data by the fingerprint service layer by layer, thereby reducing time spent on layer-by-layer event reporting and layer-by-layer display data delivery. This significantly reduces time spent on a process from finger tapping on a fingerprint detection zone to displaying of a light spot, increases a speed of responding to a fingerprint event, and reduces time of an entire fingerprint recognition process.