Abstract: A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

Abstract: An imaging control device of the present disclosure includes a detector, an extractor, and a controller. The detector detects, as a region of interest, a face region of a person in a captured image obtained by an imaging apparatus. The extractor extracts a skin region in the region of interest detected by the detector. The controller performs an imaging control on the imaging apparatus on the basis of information obtained from the skin region extracted by the extractor.

Abstract: A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

Abstract: A technique for managing training data used to train a machine-learning model is disclosed. One aspect of the present disclosure relates to a model management device comprising: a data identifying unit that acquires data identifying information; a model identifying unit that, with reference to usage information of training data, identified a first machine-learning model which has been trained by using first training data identified by the data identifying information; and a processing unit that deletes the first training data from a first training data set used to train the first machine-learning model, and thereby creates a second training data set and executes processing the first machine-learning model.

Abstract: According to one embodiment, an information processing device includes a status processing unit and a guidance processing unit. The status processing unit sets a status in each of a plurality of transaction processing devices based on an event in each of the plurality of transaction processing devices and a presence or absence result for a user in each of the plurality of transaction processing devices. The guidance processing unit performs processing for showing an available transaction processing device among the plurality of transaction processing devices based on the status in each of the plurality of transaction processing devices.

Abstract: A fraud detection apparatus includes a person detecting unit, a commodity detecting unit, and a fraud alerting unit. The person detecting unit detects, based on an image capturing a target apparatus that is a fraud detection target, a person in a first area in the periphery of the target apparatus. The commodity detecting unit detects, based on the image, at least one of a commodity and a storing body storing the commodity in a second area in the periphery of the target apparatus. The fraud alerting unit alerts a store clerk to a fraud if the person detecting unit does not detect the person and the commodity detecting unit does not detect both of the commodity and the storing body in a state in which settlement processing is executed for the commodity.

Abstract: A monitoring device for identifying possible fraudulent actions at point-of-sale terminals includes a data storage unit, a communication interface, and a processor. The processor is configured to receive sensor output from at least one sensor associated with a point-of-sale terminal and determine, based on the received sensor output, whether merchandise is present in a bagging area after a registration of merchandise at the point-of-sale terminal. The processor is also configured to determine, based on the received sensor output, whether there is a person at the point-of-sale terminal and cause an output device to output a warning when it is determined, based on the received sensor output, that the person is at the point-of-sale terminal during an on-going transaction at the point-of-sale but registered merchandise is no longer present in the bagging area after its registration. The warning is output to the person at the point-of-sale terminal.

Abstract: In one example, an imaging apparatus includes an exposure controller that performs exposure control on the basis of information of a region of interest detected from a captured image by a region-of-interest detector. The exposure controller performs different exposure control for different cases, such as whether the region of interest is detected from the captured image. It obtains an exposure correction value on the basis of the region-of-interest exposure target value before a time of region-of-interest lost, and then performs exposure control with the exposure control value obtained by correcting the set region exposure target value with the exposure correction value, in a predetermined period in which the region of interest is not detected continuously from the time of the region-of-interest lost in which the region of interest is not detected from the captured image.

Abstract: Provided is a novel therapeutic agent for inflammatory diseases such as autoimmune diseases. According to the present invention, an included IgG antibody comprises a human serum IgG antibody in which the sugar chain shown below is bonded to asparagine 297 (Asn297) in an Fe portion.

Abstract: A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

Abstract: In one example, an imaging apparatus includes an exposure controller that performs exposure control on the basis of information of a region of interest detected from a captured image by a region-of-interest detector. The exposure controller performs different exposure control for different cases, such as whether the region of interest is detected from the captured image. It obtains an exposure correction value on the basis of the region-of-interest exposure target value before a time of region-of-interest lost, and then performs exposure control with the exposure control value obtained by correcting the set region exposure target value with the exposure correction value, in a predetermined period in which the region of interest is not detected continuously from the time of the region-of-interest lost in which the region of interest is not detected from the captured image.

Abstract: To suppress a difference in brightness and darkness in a captured image caused by a difference in an exposure start time by a rolling shutter even if the exposure period is not changed. Provided is an imaging device including a gain setting unit configured to set a gain for each line in which a plurality of pixels is arrayed, the plurality of pixels being two-dimensionally arranged in a matrix in an image sensor, on the basis of diaphragm drive information regarding a diaphragm drive locus representing a time-series change in a diaphragm value. Thereby, the difference in brightness and darkness in a captured image caused by the difference in an exposure start time by a rolling shutter can be suppressed even if the exposure period is not changed.

Abstract: An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.

Abstract: An image inspection device that determines a defect in an image of a surface to be inspected of a printed matter, based on a comparison between a captured image obtained by capturing the surface to be inspected and a master image includes a hardware processor that acquires the captured image and the master image, wherein the hardware processor: acquires region information about an image in a region having a predetermined area; specifies a processing technique of image alignment for each region in relation to the region information; executes at least an alignment process in relation to the region information as a process before the comparison by the specified alignment technique; and compares the captured image and the master image, on which the process before the comparison has been performed, and performs defect determination as to whether there is a defect in the captured image based on a comparison result.

Abstract: To suppress a difference in brightness and darkness in a captured image caused by a difference in an exposure start time by a rolling shutter even if the exposure period is not changed. Provided is an imaging device including a gain setting unit configured to set a gain for each line in which a plurality of pixels is arrayed, the plurality of pixels being two-dimensionally arranged in a matrix in an image sensor, on the basis of diaphragm drive information regarding a diaphragm drive locus representing a time-series change in a diaphragm value. Thereby, the difference in brightness and darkness in a captured image caused by the difference in an exposure start time by a rolling shutter can be suppressed even if the exposure period is not changed.

Abstract: An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.

Abstract: An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.

Abstract: There is provided an image processing device including an input receiver of inputting an image obtained by photographing a specimen subjected to staining and a hardware processor. The hardware processor extracts a region subjected to the staining from the image as a cell region; extracts a region as a candidate region, the region being surrounded by the cell region and not being subjected to the staining. The hardware processor further extracts a feature amount of the candidate region; determines whether or not the candidate region is a cell region on a basis of the feature amount; and corrects the candidate region which is determined to be a cell region by the distinction means to be a cell region.

Abstract: An image processing device and a program capable of extracting a cell region as a diagnosis target more accurately may be provided. An image processing device is characterized by: first extraction means (control unit 21) for extracting a candidate region from a form image representing a form of a cell in a tissue sample; acquisition means (control unit 21) for acquiring biological substance information on at least one kind of the biological substance from images representing expression of one or more kinds of biological substances in the tissue sample; and second extraction means (control unit 21) for extracting a diagnosis target region from the candidate region based on characteristic information indicating characteristics of the candidate region and/or the biological substance information.

Abstract: An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.