Abstract: A media conveying apparatus includes circuitry configured to set setting information regarding an input image generation process, a conveyor to convey a plurality of media sequentially, and an imager to image each of the plurality of media sequentially conveyed by the conveyor according to the setting information to obtain an input image. The circuitry determines, based on the input image, whether the setting information is compatible with the medium imaged in the input image; and calculates a degree of the number of media for which the setting information is determined to be incompatible among the plurality of media. When the degree is greater than a threshold, the circuitry stops conveying subsequent media and outputs information on a result of determining whether the setting information is compatible with the medium imaged in the input image.

Abstract: A server configured to communicate with a printing apparatus to which an ink cartridge integrated with a printhead is attached and an order system configured to perform processing for delivering a replacement ink cartridge in a case where a number of times of an ink remaining amount of the ink cartridge falls below a threshold for a prescribed number of times includes a transmission unit configured to transmit, to the order system, the ink remaining amount and an identifier of the ink cartridge received from the printing apparatus, and wherein, upon receiving information about a printhead error in the ink cartridge from the printing apparatus, the transmission unit transmits, to the order system, the ink remaining amount that falls below the threshold as the ink remaining amount of the ink cartridge for the prescribed number of times.

Abstract: A reading apparatus includes a user interface, a scanner, and a controller configured to perform a push scan that causes the scanner to read a document according to an execution instruction corresponding to an operation on the user interface, and a pull scan that causes the scanner to read the document according to an execution instruction from an external device. The controller is configured to set a restriction setting value relating to a restriction on the push scan, and in a case where the controller receives an execution instruction of the push scan via the user interface, restrict the push scan according to the restriction setting value. In a case where the controller receives an execution instruction of the pull scan, the controller is configured to specify whether authentication is necessary with respect to the execution instruction of the push scan, based on the restriction setting value.

Abstract: An image processing device includes a memory device that stores a color conversion module, and one or more processors that access the memory device and execute the color conversion module to calculate a color gamut of an input image and perform color conversion of the input image by applying different color conversion matrices according to the color gamut.

Abstract: A method of inspecting medicine objects is described, wherein the method comprises: capturing an image of a medicine object; capturing hyperspectral image data of the medicine object; selecting one or more hyperspectral image data parts from the hyperspectral image data based on medicine object localized in the image; determining one or more hyperspectral fingerprints based on the one or more hyperspectral image data parts respectively, a hyperspectral fingerprint being indicative of a spectral response of one or more chemical compounds in a medicine object; and, comparing one of the one or more hyperspectral fingerprints with a reference fingerprint.

Abstract: An improved measuring device has been developed by combining a visual detector such as a camera, digital distance measuring device, and a positional sensor. The system uses positional measurements of the device along with distance measurements to generate a point cloud and uses the visual image along with distance measurements to identify and label objects. The point cloud and labeled objects are combined to generate a schematic of the environment being measured and extract relevant measurements.

Abstract: A method, apparatus and system for the automatic detection and measurement of chipping defects on diced wafers includes receiving an image of at least a portion of a diced wafer, aligning the received image of the at least the portion of the diced wafer, determining edges of the at least the portion of the diced wafer depicted in the aligned, received image, automatically determining at least one baseline from which to measure chipping defects on the at least the portion of the diced wafer from the determined edges, and measuring chipping defects on the at least the portion of the diced wafer using at least one determined, respective baseline. In some embodiments, the method, apparatus and system can further include applying a machine learning model to measured chipping defects to determine if a critical failure exists on the diced wafer.

Abstract: A system and method is provided for creating and administering a guest user's document processing operations, such as printing, on a host company network sharing the same cloud print service as the guest's company network. The host network administrator generates a list of companies that are pre-approved for users from a guest company. The guest user logs into the host network and views a list of pre-approved companies. The user selects one or more approved companies for which they are already approved. The user selects a PIN which is then associated with their information, approved companies and guest company. The user then submits their job to the cloud print service for release by a host company MFP. The user logs into a selected host company MFP with their PIN and a listing of any related, pending job is displayed. The user may select one or more jobs for release and printing. The PIN may be revoked by the host administrator, timeout or expire when a selected number of printouts has been made.

Abstract: An apparatus for generating datasets for training machine learning models includes: a receiving unit configured to receive video data comprising sequential image frames; a storage unit configured to store a plurality of the sequential image frames; and a selecting unit configured to select, for a target image frame, a subset of stored image frames, the subset providing contextual data relating to the target image frame for the machine learning model. The selecting unit is configured to successively generate sampling values, wherein a difference between successive sampling values increases with each successively generated sampling value; and the selecting unit is configured to select a given image frame from the stored image frames in dependence upon whether a number of sequential image frames between the given image frame and the target image frame coincides with one of the successively generated sampling values.

Abstract: In some examples, a system detects a highlighted area in an image content. The system applies a color adjustment process in the highlighted area. The color adjustment process is not applied in areas of the image content outside the highlighted area, and the color adjustment process includes an operation of adjusting a color of the highlighted area. The adjusting of the colors of the highlighted area includes adjusting a color value of a specified color space.

Abstract: A skincare device including a spectral sensor configured to capture a spectral image of a subject at one or more wavelengths outside of the visible spectrum; and a controller is provided. The controller is configured to analyse the spectral image to determine a measure of cosmetic residue present on the subject; and control the skincare device to perform an action associated with the determined measure of cosmetic residue. Also provided is a method and computer programme for the device.

Abstract: A clinical monitoring device, in particular a patient zone monitoring device is described. The monitoring device comprises a first sensing unit comprising at least one first sensor configured to acquire spatial data representing spatially resolved depth information with respect to a first field of view of the first sensing unit, a second sensing unit comprising at least one second sensor configured to acquire thermal data representing spatially resolved temperature information with respect to a second field of view of the second sensing unit, and a processing unit comprising at least one processor, the processing unit being configured to receive the spatial data from the first sensing unit and the thermal data from the second sensing unit and process at least the spatial data and the thermal data to generate scene data representing information with respect to a scene in a volume comprised in at least one of the first field of view and the second field of view.

Abstract: Embodiments of the invention include ascribing a predetermined data record to a physical surface in the form of an imperfect aesthetic pattern of marks. An image showing a portion of the surface, when processed with a decoder, yields the predetermined, verified data record.

Abstract: A processing device and method for executing a color twist operation are provided. The processing device comprises memory and a processor configured to convert values of pixels of a frame from a first color domain to a hue, saturation and value (HSV) color domain, adjust hue values and saturation values of the pixels, store the adjusted hue and saturation values in a portion of the memory local to the processor and convert the frame from the HSV color domain to the first color domain using the adjusted hue and saturation values stored in local memory. The adjusted hue and saturation values are generated from pre-adjusted values, which are generated from masked vector values.

Abstract: Provided are a YOLOv5-based real-time detection method and device for blade cracks in aeroengine operation and maintenance. The method includes: sending a first instruction to obtain images of internal blades of an engine; preprocessing the images of the internal blades of the engine to obtain a test dataset, a training dataset, and a validation dataset; inputting the training dataset into a preset YOLOv5 network model for training, preliminarily evaluating a model effect derived from training by using the validation dataset to adjust the model, testing the model by using a trained weight file and the test dataset, and obtaining an mAP value and a precision-recall curve to finally evaluate the model; obtaining the images of the internal blades of the engine in real time, detecting the internal blades of the engine in real time by using the weight file, and outputting a detection result.

Abstract: A method of generating a color correction model, including: acquiring first color coordinates of a sample pixel in a first color space; converting the first color coordinates of the sample pixel to second color coordinates of the sample pixel in a second color space; inputting the second color coordinates of the sample pixel into an initial color correction model to generate sample output data; and training the initial color correction model according to the sample output data and theoretical output data corresponding to the first color coordinates, to obtain a trained color correction model, where the trained color correction model is configured to perform color correction on a target pixel in each of a plurality of video standards.

Abstract: An edge device can include a processing device, an image sensor, and a memory having instructions that are executable by the processing device for causing the processing device to perform operations. The processing device can receive, from the image sensor, an image of an environment. The processing device can determine a visibility measure corresponding to the environment by determining a dark channel of the image, determining, based on the dark channel of the image, a transmission map of the image, and determining, based on the transmission map, a visual contrast of the image. The processing device can generate information corresponding to the visibility measure.

Abstract: Embodiments of the invention include ascribing a predetermined data record to a physical surface in the form of an imperfect aesthetic pattern of marks. An image showing a portion of the surface, when processed with a decoder, yields the predetermined, verified data record.

Abstract: The present invention falls within the field of medical imaging, specifically imaging aimed at identifying breast lesions, specifically, identifying potential breast cancer lesion masses or potential cancer lesion calcifications of the breast. The object of the present invention is a computational method for the improved identification of breast lesions that involves obtaining digital images of a breast section, with at least two digital images obtained by different imaging technologies, their segmentation and consequent correlations, to identify one or more cancer lesions. This allows for improved automation of the identification of breast lesions.

Abstract: A method of requalifying a die after storage under this disclosure could be said to include the steps of running production parts on a die, stopping production for a period of time, taking a pre-storage 3D scan of the die, storing the die for a period of time, taking a post storage 3D scan of the die, comparing the post storage 3D scan information to the pre-storage 3D scan information, and requalifying the die for use in production should the post storage 3D scan be found to be sufficiently close to the pre-storage 3D scan.