Abstract: An image processing system comprises: a model pattern acquisition unit that acquires a model pattern generated from input shape information; a model pattern correction unit used for correcting the model pattern acquired by the model pattern acquisition unit; and a machine learning unit that generates model pattern generation information for generating the model pattern from the input shape information by performing supervised learning using a set of learning data pieces each including correction information about the model pattern corrected by using the model pattern correction unit and the input shape information associated with each other. The image processing system is capable of generating a model pattern in which a result of the learning is reflected using the input shape information newly input and the model pattern generation information.

Abstract: An edge computer is connected to plural types of sensors each measuring a status of a monitoring target and to a server apparatus. The edge computer has an acquisition unit, a determination unit, and a compression unit. The acquisition unit regularly acquires a data set including a plurality of measurement data measured by the plural types of sensors. The determination unit previously holds dependencies between the measurement data measured by the plural types of sensors when the monitoring target is normal as reference dependencies. The determination unit, every time the data set is acquired, determines whether or not dependencies between the measurement data included by the data set match the reference dependencies. The compression unit compresses the data set to transmit the data set to the server apparatus on a basis of a result of the determination.

Abstract: An image processing device including an object detection unit for detecting one or more images of objects from an input picture image, on the basis of a model pattern of the object, and a detection result display unit for graphically superimposing and displaying a detection result. The detection result display unit includes a first frame for displaying the entire input picture image and a second frame for listing and displaying one or more partial picture images each including an image detected. In the input picture image displayed in the first frame, a detection result is superimposed and displayed on all the detected images, and in the partial picture image displayed in the second frame, a detection result of an image corresponding to each partial picture image is superimposed and displayed.

Abstract: An image processing device that detects an image of an object from input data captured by a vision sensor, on the basis of a model pattern including a set of a plurality of first feature points representing the shape of the object, includes an object detection unit that detects images of the object by matching between a plurality of second feature points extracted from the input data and a plurality of first feature points forming the model pattern, a corresponding point selection unit that selects, for each image of the object, second feature points corresponding to the first feature points and stores the selected second feature points as corresponding points, and a model pattern correction unit that calculates a statistic of a predetermined physical quantity of the plurality of corresponding points associated with each first feature point and corrects the first feature point on the basis of the statistic.

Abstract: A computing system includes a database and a processing device. The database includes a data part which stores data and an index part which stores an incomplete index of the data. The processing device receives a query from a client, processes a query by using the incomplete index, and transmits a response to the query to the client.

Abstract: A data storage unit that stores saving target data including a plurality of attribute values, and data identification information including any one of the attribute values included in the saving target data, as a data pair; and a data structure conversion unit that changes the attribute value included in the data identification information of the data pair stored in the data storage unit, to another one of the attribute values included in the saving target data stored as the data pair, are included. During a period of time that the data structure conversion unit is changing the attribute value included in the data identification information, reference to the data pair, which is the target of the change by the data structure conversion unit, is prohibited.