Abstract: A method for identification (ID) verification using a device with embedded radio-frequency identification (RFID) functionality is disclosed. The method comprises capturing, by a camera associated with a client device, an image of an ID document having an embedded RFID chip. The image is transmitted to a server for optical character recognition to extract and recognize printed data associated with the ID document. The client device can receive the printed data from the server and use the printed data to unlock the RFID chip by an RFID reader. Digital data associated with the ID document can be retrieved from the RFID chip and compared to the printed data. If the digital data and the printed data match, the ID document is verified. Otherwise, the ID document is rejected.

Abstract: Various techniques are disclosed to provide a cloud-based, networked infrared (IR) inspection routing system that provides a user interface for remotely defining an inspection routing workflow for an inspection of a site, and provides an IR camera that presents customized and context-aware instructions to an on-site inspector to perform the inspection. The IR camera may be further configured to analyze IR images that are captured during the inspection and provides additional guidance in response to the analysis of the captured IR images according to the defined inspection routing workflow.

Abstract: A learning method for selecting specific information, to be used for updating an HD Map is provided. And the method includes steps of: (a) a learning device instructing a coordinate neural network to generate a local feature map and a global feature vector by applying a coordinate neural network operation to a coordinate matrix; (b) the learning device instructing a determination neural network to generate a first estimated suitability score to an N-th estimated suitability score by applying a determination neural network operation to the integrated feature map; (c) the learning device instructing a loss layer to generate a loss by referring to (i) the first estimated suitability score to the N-th estimated suitability score and (ii) a first Ground Truth(GT) suitability score to an N-th GT suitability score, and perform backpropagation by using the loss, to thereby learn parameters of the determination neural network and the coordinate neural network.

Abstract: A method for correcting an incorrect angle of a camera is provided. And the method includes steps of: (a) a computing device, generating first reference data or second reference data according to circumstance information by referring to a reference image; (b) the computing device generating a first angle error or a second angle error by referring to the first reference data or the second reference data with vehicle coordinate data; and (c) the computing device instructing a physical rotation module to adjust the incorrect angle by referring to the first angle error or the second angle error.

Abstract: An apparatus configured to process video data includes a memory and a processor in communication with the memory where the processor is configured to obtain an input picture including a color component having a first color characteristic, obtain a plurality of parameters associated with the color component of at least one sample of the input picture where the plurality of parameters are indicative of pivot points associated with a piece-wise linear function associated with the color component, determine that a value of at least one parameter of the plurality of parameters includes a negative value, apply, on the at least one sample of the input picture, the piece-wise linear function defined with the at least one parameter having a negative value, generate at least one output sample of an output picture including the color component having a second color characteristic based on the application of the piece-wise linear function.

Abstract: Techniques are provided that include identifying robust features within a training image. Training features are generated by applying a feature detection algorithm to the training image, each training feature having a training feature location within the training image. At least a portion of the training image is transformed into a transformed image in accordance with a predefined image transformation. Transform features are generated by applying the feature detection algorithm to the transformed image, each transform feature having a transform feature location within the transformed image.

Abstract: The present invention includes: a three-dimensional moving image generation module for generating a moving image of an experiment target person; an object extraction module for extracting the experiment target person, separately from a background, from the moving image; an object definition module for defining an object by measuring a length, a size and a weight center of the object and extracting a depth image of the object; a behaviour pattern definition module for defining a basic behaviour pattern of the object by cumulatively analyzing a movement speed and movement time of the weight center of the corresponding object, and changes in the extracted depth data when the object defined by the object definition module is extracted by the object extraction module; and a behaviour pattern analysis module for analyzing and identifying a lasting time and a frequency of the basic behaviour pattern with respect to the object.

Abstract: Disclosed are systems, devices, and methods for detecting characteristics of an unhatched egg. A set of images of an unhatched egg are obtained, where each of the spectral images is obtained in a particular wavelength range. The set of images is processed to extract image features, where the image features includes an image texture feature. The extracted image features are processed to classify the unhatched egg according to at least one characteristic. The at least one characteristic may include fertility and/or gender.

Abstract: Disclosed are systems and method for determining document type of a digital document.

Abstract: A system and method for analyzing multi-dimensional images includes a high content imaging system that includes an image capture device. An image acquisition module receives a series of images of a biological sample captured by the image capture device, and the series of images includes a sequence of image planes. A human interface module receives from a user computer specifications of a first image analysis step and a second image analysis step. The first image analysis step specifies a first image processing operation that processes an image plane of a series of images in accordance with at least another image plane of the series of images and the second image analysis step specifies a second image processing operation that processes each image plane of a series of images independently of the other image planes of the series.

Abstract: In order to inspect a substrate, an image information of a substrate before applying solder is displayed. Then, at least one inspection region on the substrate is image-captured to obtain an image of the inspection region that is image-captured. Then, image information that is to be displayed is renewed and the renewed image information is displayed. And, in order to inspect a foreign substance, obtained image of the inspection region is compared with a reference image of the substrate. Therefore, an operator can easily catch a region corresponding to a specific region of the image that is displayed, and easily detect a foreign substance on the substrate.

Abstract: A probabilistic model is provided based on an output of a matching procedure that matches a particular object to representations of objects, where the probabilistic model relates a probability of an object being present to a number of matching features. The probabilistic model is used for detecting whether a particular object is present in received visual data.

Abstract: Methods for generating a temperature map of a scene are provided. A method may include receiving thermal data of the scene. The thermal data includes frames of thermal infrared data. A mapping may be created for each frame based on the digital thermal infrared data. The method further includes generating the temperature map using the mapping. The temperature map is generated prior to a contrast enhancement process. The method further includes separately transmitting the temperature map and the digital thermal infrared data in a data channel.

Abstract: A method, executed by a computer, includes receiving, for a cluster, a request to create a new container host, wherein the cluster comprises a plurality of container hosts having a corresponding plurality of local repositories, creating the new container host, selecting an image for the new container host according to one or more host preferences, wherein the image is stored in an image location, and copying the image from the image location to the local repository of the new container host. A computer system and computer program product corresponding to the above method are also disclosed herein.

Abstract: A printed circuit board inspection apparatus obtains measurement shape information about each of a plurality of solder pastes printed on a first printed circuit board through a plurality of apertures and aperture shape information about each of the plurality of apertures, obtains probability values that a first solder paste printed through a first aperture of the plurality of apertures and each of a plurality of second solder pastes printed through second apertures other than the first aperture of the plurality of apertures have the measurement shape information when the first solder paste and the plurality of second solder pastes are printed on the first printed circuit board, by applying the measurement shape information and the aperture shape information to a machine-learning based model, and detects whether an anomaly in the first solder paste occurred based on the probability values.

Abstract: An image processing system, method, and program suppress block distortion when decoding block-encoded image data. Filtering content to be applied to the block image data is selected based on the encoding types of the block image data to be filtered. A filter filters block image data according to the selected filtering content.

Abstract: A printed circuit board inspection apparatus generates at least one image indicating whether an anomaly associated with a plurality of solder pastes printed on a first printed circuit board is detected, if an anomaly in at least one solder paste of the plurality of solder pastes is detected by using an image of the first printed circuit board, obtains at least one value indicating relevance between at least one fault type and the generated at least one image, using the machine-learning based model, and determines a fault type associated with the at least one solder paste in which the anomaly is detected from at least one fault type, based on the obtained at least one value.

Abstract: Various embodiments of the disclosure relate to an accelerated mathematical engine. In certain embodiments, the accelerated mathematical engine is applied to image processing such that convolution of an image is accelerated by using a two-dimensional matrix processor comprising sub-circuits that include an ALU, output register and shadow register. This architecture supports a clocked, two-dimensional architecture in which image data and weights are multiplied in a synchronized manner to allow a large number of mathematical operations to be performed in parallel.

Abstract: A image processing device includes a first interface to receive a first frame having a first pixel value with a first dynamic range; a dynamic range converter to convert the first pixel value having the first dynamic range into a second pixel value having a second dynamic range according to a conversion gain factor to generate a second frame having the second pixel value with the second dynamic range, the second dynamic range being less than the first dynamic range; a weight generator to receive the conversion gain factor and to generate a first contrast weight signal depending on the conversion gain factor; and a contrast modifier to enhance a local contrast of the second frame by adjusting the second pixel value of the second dynamic range based on the first contrast weight signal.

Abstract: The systems, methods, and devices described herein generally relate to achieving accurate and robust motion correction by detecting and accounting for false movements in motion correction systems used in conjunction with medical imaging and/or therapeutic systems. In other words, in some embodiments of the systems, methods, and devices described herein can be configured to detect false movements for motion correction during a medical imaging scan and/or therapeutic procedure, and thereby ensure that such false movements are not accounted for in the motion correction process. Upon detection of false movements, the imaging or therapeutic system can be configured to transiently suppress and/or subsequently repeat acquisitions.