Abstract: An optical device has a light guide plate configured to guide light within a plane parallel to an emission surface thereof, and a plurality of optical deflectors arranged two-dimensionally within a plane parallel to the emission surface. Each of the optical deflectors deflects light propagating through the light guide plate, and causes the emission surface to output light forming an image in a space. Each of the optical deflectors is configured to spread the light incident thereon that has an intensity distribution corresponding to an image in a direction orthogonal to the light guide direction of the light guide plate in a plane parallel to the emission surface, and cause the emission surface to output the light which groups the light from the plurality of optical deflectors arranged along a direction orthogonal to the light guide direction, such that light radiating from the image is formed.

Abstract: A highly reliable automatic transaction apparatus and control method thereof which are capable of suppressing unauthorized transactions and the like are proposed.

Abstract: Provided are an electronic device and a manufacturing method therefor such that, when connecting a first electronic component configured to have a step difference near an external connection terminal to a second electronic component via wiring, the size increase of a manufacturing device can be avoided, wiring can be carried out at a low-cost, and the reliability of the wiring connections can be improved. An LCD (10) and an IC (20) are embedded and exposed in a resin molding (30) in such a manner that a connection electrode (13a) of the LCD (10) and an electrode of the IC (20) are positioned on the same plane.

Abstract: An electromagnetic relay is provided with a housing; a first fixed contact terminal and a second fixed contact terminal secured to the housing; a movable contact accommodated in a chamber in the housing; a movable shaft with one end connected to the movable contact, and a solenoid configured to drive the movable shaft in a contact movement direction. The solenoid includes: a spool with a through-hole in the drum; a fixed armature secured in the through-hole; and a movable armature arranged between the fixed armature in the through-hole and an insulating wall; the movable armature is configured to travel with the movable shaft between an operation position and a return position. The housing includes an alignment part that determines the return position of the movable armature.

Abstract: A gripping method relates to a gripping method for gripping an object using a multi-fingered hand provided with a plurality of fingers. A three-dimensional measurement sensor is used to measure an area that contains the object to obtain three-dimensional information. If the area includes an area for which no three-dimensional information can be obtained, the area is separated and is interpolated using the range information indicating the closer one of distances obtained at two positions on an axis extending along a direction in which the fingers are opened and closed, the two positions being adjacent to the unmeasured area with the unmeasured area interposed therebetween. Then, the distance between the fingers for gripping the object is decided, and the multi-fingered hand is controlled based on the distance.

Abstract: A control apparatus for controlling a control target includes: an acquisition unit, a determination unit, and a delay time adding unit. The acquisition unit acquires at least first and second measurement values related to a control target, such as a machine. The determination unit determines whether the control target is in a predetermined state, such as a normal state or an abnormal state, based on the measurement values acquired by the acquisition unit. The delay time adding unit adds delay to at least one of the first and second measurement values.

Abstract: A method for operating an automation system comprising at least one field device associated to a local control device is provided. The method comprises: controlling an operation of the field device based on control data generated by the local control device; receiving monitoring data describing the controlled operation of the field device from the field device; modifying configuration data of the local control device based on the monitoring data; generating upload data comprising information about the modification of the configuration data and/or about changes in the operation of the field device resulting from the modification of the configuration data; in the local control device and/or in a central control device, deleting, encrypting and/or masking specified information from the upload data to generate modified upload data; and providing the modified upload data for use by another local control device.

Abstract: A characteristic included in data is determined with relatively high precision. An inspection system according to one aspect of the present invention acquires a plurality of learning data sets respectively including a combination of image data and correct answer data, and sets a difficulty level of determination for each of the learning data sets in accordance with a degree to which a result which is obtained by determining the acceptability of a product in the image data of each of the learning data sets by a first discriminator conforms to a correct answer indicated by the correct answer data. Besides, the inspection system constructs a second discriminator that determines the acceptability of the product by executing stepwise machine learning in which the learning data sets are utilized in ascending order of the set difficulty level.

Abstract: In a radar apparatus of the present invention, a ghost deciding unit decides whether or not a first condition that a first object candidate and a second object candidate are in the same direction with respect to the transmission/reception unit is satisfied, and then decides whether or not a second condition that, of the first and second object candidates, a reflection power from the first object candidate located farther away from the transmission/reception unit is smaller than a reflection power from the second object candidate located closer to the transmission/reception unit is satisfied. The ghost deciding unit decides that only when the first condition and the second condition are satisfied, the first object candidate is a ghost.

Abstract: A calculation device, a calculation method, and a storage medium are provided. The present invention is provided with: a first calculation unit which, with respect to input data, performs calculations relating to predetermined processing by using a first model in which a corresponding relationship between input data and output data changes by performing machine learning that uses learning data, and outputs a first output; a second calculation unit which, with respect to input data, performs calculations relating to predetermined processing using a second model for which the correspondence relationship between input data and output data is fixed, and outputs a second output; and a comparison unit which, on the basis of a comparison result obtained by comparing the first output and the second output with a prescribed determination standard, outputs the first output, the second output, or a third output that is a combination of the first and second outputs.

Abstract: This neural network-type image processing device is provided with an input layer which comprises one unit where an input image is inputted, an output layer which comprises one unit where an output image is outputted, and multiple intermediate layers which are arranged between the input layer and the output layer and each of which comprises multiple units, the unit of the input layer, the units of the intermediate layers, and the unit of the output layer are fully connected with connection coefficients. The units of the intermediate layers are image processing modules which perform image processing on the image inputted to said units. The input image is inputted from the unit of the input layer, passes through the units of the intermediate layers, and is then outputted as an output image from the unit of the output layer; the connection coefficients are updated with learning based on a backpropagation algorithm.

Abstract: An inspection apparatus includes: an image capturing apparatus configured to capture an image of an object to be inspected: a determination unit configured to determine, based on the image, whether or not the object to be inspected includes a defect, using an identification device that has been trained using learning data: an input unit configured to accept an input indicating whether or not a determination result by the determination unit is correct; an extraction unit configured to extract a partial image of the image based on which the determination has been made; and a generation unit configured to generate new learning data based on the partial image, if a fact that the determination result by the determination unit is not correct has been input.

Abstract: An image inspection device which inspects the inspection target by images includes: an imaging part, which images the inspection target; a changing part, which makes the location of the inspection target with respect to the imaging part periodically and relatively change; and a control part, which makes the imaging part image the inspection target so as to acquire a plurality of images having different imaging conditions at a plurality of timings which is periodically repeated due to the relative changes and at which the inspection target is in a predefined location with respect to the imaging part.

Abstract: An identifying apparatus may include: an imaging unit configured to store multiple identifiers that are trained to identify, from images of objects, the presence or absence of a detection target included in the objects, the identifiers being stored in association with attributes of the objects, and to capture an image of a predetermined object; a specifying unit configured to specify an attribute of the predetermined object; a selecting unit configured to select, from the multiple identifiers, a first identifier stored in association with the specified attribute; an input unit configured to input the image of the predetermined object to the first identifier; and an output unit configured to output the presence or absence of the detection target included in the predetermined object, which is output from the first identifier.

Abstract: A sensor management unit receives, from at least one sensor device installed external to the sensor management unit, sensing data generated by the sensor device monitoring a target. The sensing data includes background noise data representing noise from a cause other than the target. The sensor management unit includes a background noise data obtaining unit that obtains the background noise data, a reliability determination unit that determines a reliability of the sensing data based on the background noise data, and a determination result output unit that outputs a result of the determination by the reliability determination unit.

Abstract: A main control section (30) of a slave device (3) include a slave controller (31), a processor (32), and a watchdog circuit (33) which are configured as a one-chip integrated circuit. In a case where the watchdog circuit (33) has detected that a malfunction has occurred in an operation of the main control section (30), the watchdog circuit (33) resets the processor (32) while not stopping an operation of the slave controller (31).

Abstract: Provided is an image processing system which determines at least one object using a low function device and a high function device having higher calculation capacity than the low function device. The low function device includes a part configured to output a first determination result which identifies the objects by applying a first convolution neural network to captured images of the objects, and a part configured to output the captured image to the high function device when the first determination result meets a predetermined condition. The high function device includes a part configured to apply a second convolution neural network preliminarily learned from a sample which is at least partially common to the first neural network to the captured image and to output a second determination result which identifies the object.

Abstract: The control system includes a master device control part controlling a master device with a certain number of control axes by using master information and a slave device control part controlling a slave device with a certain number of control axes by using slave information. The control system includes an abstracted master information creating part for creating abstracted master information having a fixed number of elements based on a predetermined manner for allocation and according to the number of elements of the received master information. The slave device control part extracts elements in a number in accordance with the number of elements of the slave information from the fixed number of elements included in the abstracted master information based on a predetermined manner for extraction and according to the number of elements of the slave information to create the slave information.

Abstract: A measuring device according to one aspect of the present invention includes a processor configured to acquire, from a sensor, a first, a second, a third and a fourth measurement result obtained by measuring a value related to information at time intervals using the sensor, transmit the first measurement and the second measurement result in a one-way communication packet during a first period from when the second measurement result is obtained until the third measurement result is obtained, and transmit the second and the third measurement result in the one-way communication packet during a second period from when the third measurement result is obtained until the fourth measurement result is obtained.

Abstract: An electromagnetic relay and a terminal block each include a voltage converter. The voltage converter is located adjacent to a coil and electrically connected to first coil terminals and second coil terminals. The voltage converter converts a power supply voltage input through one of the first coil terminals to a set value different from the input power supply voltage and outputs the power supply voltage to an electromagnet through one of the second coil terminals.