Abstract: A drawing device, including: a drawing head which performs drawing on a drawing target; a head mover which moves the drawing head in a first direction and in a second direction which intersects with the first direction; a cap which protects the drawing head; and a processor which controls the drawing head and the head mover. Within a range where the drawing head is moved by the head mover, a drawing area where the drawing target is placed and the drawing by the drawing head is performed and a stand-by area where the cap is disposed are provided. The drawing head performs the drawing on the drawing target while the processor controls the head mover to move the drawing head in the first direction. The drawing head is protected with the cap by the processor controlling the head mover to move the drawing head to the stand-by area.

Abstract: An image reading device includes at least one reference portion that is provided in a reading area of a reading unit provided with a moving mechanism, a memory unit that stores, as an initial value, positional data of the reference portion that is read by the reading unit, an acquisition unit that reads the positional data of the reference portion and acquires a displacement amount of the read positional data from the initial value, and an error handling unit that performs error handling when the displacement amount exceeds a predetermined value.

Abstract: This invention discloses an image processing method and an image processing device for filtering images. The image processing method includes the following steps: (A) generating a weight for each reference pixel, the image including multiple reference pixels and the magnitude of the weight being associated with a similarity between the reference pixel to which the weight corresponds and a target pixel; and (B) performing an infinite impulse response (IIR) filtering operation according to the weights, a pixel value of the target pixel, and the pixel values of the reference pixels to obtain an IIR-filtered value of the target pixel.

Abstract: A computer implemented method of detecting neutrons in images from a tunable sensor system comprises training a deep learning process to recognize known radiation-dependent signature patterns created by neutrons in test images. The method further comprises splitting an input image into a plurality of frames and passing the plurality of frames through the deep learning process in order to recognize neutrons in the plurality of frames. Subsequently, the method comprises recombining the plurality of frames back into the input image. For each pixel within the input image, the method comprises examining pixels connected to a respective pixel to determine if a signature pattern particular to neutrons is present within the input image and counting a number of neutrons within the input image using results from the examining.

Abstract: A printing apparatus includes a reception unit configured to receive a print job, and an execution unit configured to execute printing the print job received by the reception unit, wherein the execution unit is configured to execute cancellation for automatically cancelling printing of the print job received by the reception unit based on a state in which a predetermined interruption of printing the print job remains unsolved continues for a predetermined time or longer; and a notification unit configured to notify at least a user or an external apparatus communicating with the printing apparatus of information indicating that the printing apparatus is currently in a state in which a print job to be newly received by the reception unit is automatically cancelled by the cancellation.

Abstract: The present invention provides an information processing apparatus and a method of controlling the same. The information processing apparatus has a console unit that accepts an instruction by a user via a button displayed on a screen. The information processing apparatus registers a setting for executing processing corresponding to the button, prompts a user to input identification information to be added to image data generated by a function corresponding to the button, and when the button is instructed via the console unit, the information processing apparatus outputs the image data to which the identification information has been added to a destination corresponding to the setting which is registered in association with the button.

Abstract: A fusion decision processing section, based on a feature amount calculated by using a monochrome imaged image acquired by imaging a subject with an imaging section, and a color imaged image acquired by imaging the subject from a different point-of-view position with another imaging section, performs fusion decision as to whether or not deterioration of image quality is caused in fusion processing for producing a fusion image obtained by fusion of the monochrome imaged image and the color imaged image with the monochrome imaged image as a reference in a fusion processing section. Moreover, the fusion image data produced in the fusion processing section is selected in a case where deterioration of image quality is not caused in the fusion processing, and demosaic data produced in a demosaic processing section is selected in a case where the deterioration of the image quality is caused in the fusion processing.

Abstract: An image forming apparatus 10 includes a control unit 20 that, when images are successively formed on a plurality of recording media by an image forming unit 22, obtains waste-sheet information indicating whether each of the plurality of recording media is a waste sheet and, for a waste sheet, indicating a cause of the waste sheet; identifies whether each of the recording media is a waste sheet in accordance with the obtained waste-sheet information; and, in a case of a waste sheet, performs control to arrange and display, on a touch panel display 35, a waste-sheet state display image 54 that makes a cause of the waste sheet distinguishable in chronological order of formation of the images.

Abstract: The technology described in this document can be embodied in a method that includes receiving from a sensor, information indicative of an environmental condition. The method also includes receiving first information indicative of whether or not a first image captured by a first image acquisition device corresponds to an alternative representation of a live person, and receiving second information indicative of whether or not a second image captured by a second image acquisition device corresponds to the alternative representation. The first information and the second information are combined in a weighted combination, the corresponding weights being assigned in accordance with the environmental condition. A determination is made, based on the weighted combination, that a subject in the first and second images is an alternative representation of a live person, and in response, access to the secure system is prevented.

Abstract: An information processing apparatus may include: a storage unit configured to store a plurality of classifiers that identify an object, the classifiers having different characteristics; a measurement unit configured to measure identification accuracy and execution time of each of the plurality of classifiers for a specific object; an output unit configured to output the identification accuracy and the execution time of each of the plurality of classifiers; a selection unit configured to select, from the classifiers whose identification accuracy measured by the measurement unit meets a first condition, a classifier whose execution time meets a second condition; and a setting unit configured to perform setting to cause the selected classifier to operate on an identification apparatus.

Abstract: An image encoding apparatus comprises a separation unit which separates a plurality of planes respectively configured in a single component for a frame of an inputted video; a transform unit which performs a wavelet transformation of a plane of interest in the plurality of planes; an extraction unit which, from each sub-band, extracts in order blocks representing the same region of an image; a quantizing unit which quantizes wavelet transformation coefficients; and an encoding unit which encodes the quantized wavelet transformation coefficients. Here, the quantizing unit includes a determination unit that, for each of the blocks, determines a correction parameter for correcting the quantization parameter based on a direct current value and an alternating current value of the block, and quantizes wavelet transformation coefficients in accordance with the corrected quantization parameter.

Abstract: An information processing apparatus includes a controller. If images related to devices that have been identified are superimposed on one another, the controller causes information about one or plural cooperative functions that use functions of the devices to be displayed.

Abstract: A method, a non-transitory computer readable medium, and a system are disclosed for detection and avoidance of printing of previously printed print jobs. The method includes storing one or more digital copies of print jobs in a central storage system; storing one or more physical copies of the one or more digital copies of the print jobs in a document stacker; receiving a print job on a printer; sending a request from the printer to the central storage system to determine if a physical copy of the print job is in the document stacker; and when the print job is in the document stacker sending a code from the central storage system for retrieval of a physical copy of the print job from the document stacker.

Abstract: The present disclosure provides systems and methods that measure crop residue in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned convolutional neural network to determine a level of crop residue for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

Abstract: A system and method for Automated Detection and Measurement of Corneal Haze and the Demarcation Line is disclosed. Data extraction module performs visual data and statistics generation to detect corneal haze and calculate corneal attributes in images.

Abstract: A printing apparatus conveys a printing medium in a first direction, and includes an encoder that outputs a predetermined signal in accordance with a conveyance amount of the printing medium in the first direction, and a print head having a plurality of nozzle rows, each of which includes a plurality of nozzles ejecting ink, arrayed in a second direction intersecting with the first direction. In addition, a print engine is connected with the print head and performs conversion processing from image data into print data. The print engine has a first buffer storing the image data, has a second buffer storing the print data, and converts image data stored in the first buffer into print data in response to a first interrupt signal based on the predetermined signal output from the encoder, and stores the print data in the second buffer.

Abstract: An image communicating apparatus includes a controller, a communication unit that transmits an image to a transmission destination of input destination information, and a character recognizing unit that recognizes, from an image including destination information of a transmission destination, the destination information. The controller transmits an image to the transmission destination by using the communication unit in a case where the recognized destination information matches the input destination information. In addition, the image communicating apparatus includes a memory that stores input destination information. The input destination information is stored in the memory in a case where the input destination information matches the recognized destination information.

Abstract: A fingerprint characterizing system and method include receiving a fingerprint image at a fingerprint module; extracting a plurality of minutiae points from the fingerprint image, via a fingerprint image sensor; generating a minutiae file of biometric data according to a corresponding location of the plurality of minutiae points on the fingerprint image; generating a pair table from the minutiae file; dividing the pair table into a plurality of subsets; encrypting, via processing circuitry each of the plurality of subsets; comparing, via the processing circuitry each of the encrypted plurality of subsets against one or more existing encrypted subsets stored across a plurality of data clouds; and generating, via the processing circuitry a match table for each of the encrypted plurality of subsets and a corresponding compatible existing encrypted subset stored in the plurality of data clouds.

Abstract: A printer connectable to a weight measuring apparatus includes: a head configured to perform printing on a print medium; a controller; a memory; and an operation part. The controller executes: an identifying processing of identifying the weight measuring apparatus based on identification information; a first storing processing of storing, in the memory, first data transmitted from the weight measuring apparatus in a first loading state; a second storing processing of storing, in the memory, second data transmitted from the weight measuring apparatus in a second loading state; a data specifying processing of specifying, as weight data areas, data areas having mutually different values and included in code strings constructing the first data and the second data, respectively; and a registering processing of registering, in the memory, the identification information and the weight data areas while associating the identification information and the weight data areas with each other.

Abstract: The present disclosure provides a target tracking method and device oriented to airborne-based monitoring scenarios. The method includes: obtaining a video to-be-tracked of the target object in real time; extracting a first frame and a second frame; trimming and capturing the first frame to derive an image for first interest region; trimming and capturing the second frame to derive an image for target template and an image for second interest region; inputting the image for target template and the image for first interest region into an appearance tracker network to derive an appearance tracking position; inputting the image for first interest region and the image for second interest region into a motion tracker network to derive a motion tracking position; and finally inputting the appearance tracking position and the motion tracking position into a deep integration network to derive a final tracking position.