Abstract: A method for selecting templates for application deployment. The method may include storing, a plurality of templates for deploying applications into at least one of at least one edge server or at least one cloud server, wherein the at least one cloud server communicates with the at least one edge server through a network; receiving, from the at least one edge server, configuration information of a plurality of edge devices and the at least one edge server, and operation condition information of applications deployed, wherein the plurality of edge devices is in communication with the at least one edge server; receiving, from the at least one cloud server, infrastructure resource information of the at least one cloud server; and deploying, application by selecting at least one of the plurality of templates based on the configuration information, the operation condition information, and the infrastructure resource information.

Abstract: This information processing device comprises: a generation circuit that, on the basis of attribute information of first image data resulting from imaging a first object in a first environment, generates second image data that reproduces an image in which a second object differing from the first object is disposed in the first environment; an evaluation circuit that evaluates the accuracy of image recognition for the second object on the basis of the second image data; and an output circuit that outputs the accuracy evaluation results.

Abstract: An order management device is provided with: an input circuit that acquires information about a plurality of articles including an order candidate article and to be subjected to image recognition after the order candidate article is ordered; a determination circuit that determines, with respect to two or more different articles included in the plurality of articles, an index indicating a possibility that the articles are incorrectly recognized as the same article when the image recognition is performed, on the basis of information about the similarity among the plurality of articles in the image recognition; and an output circuit that outputs information about the determined index.

Abstract: In collection of training data for image recognition, in order to support a reduction in collection of improper images which are not suitable as training data, a learning data collection device includes a processor which is configured to acquire a captured image from an image capturing device, determine whether or not the captured image is suitable as training data, and when the captured image is determined to be not suitable as training data, perform a notification operation to prompt an image capturing person to reshoot a new image for the captured image.

Abstract: In generation of training data for image recognition, in order to reduce a user's workload of assigning a label to a captured image, a learning device includes a processor for performing operations to generate training data and a display device, wherein the processor is configured to acquire a captured image from an image capturing device; acquire one or more candidate objects recognized based on an identification model for a recognition target included in the captured image; and display, on the display device, information on the candidate objects as respective label candidates for the captured image.

Abstract: In collection of training data for image recognition, in order to support a reduction in collection of improper images which are not suitable as training data, a learning data collection device 3 includes a processor 51 which is configured to acquire a captured image from an image capturing device 2, determine whether or not the captured image is suitable as training data, and when the captured image is determined to be not suitable as training data, perform a notification operation to prompt an image capturing person to reshoot a new image for the captured image.

Abstract: In generation of training data for image recognition, in order to reduce a user's workload of assigning a label to a captured image, a learning device includes a processor for performing operations to generate training data and a display device, wherein the processor is configured to acquire a captured image from an image capturing device; acquire one or more candidate objects recognized based on an identification model for a recognition target included in the captured image; and display, on the display device, information on the candidate objects as respective label candidates for the captured image.

Abstract: A vehicle model identification system includes an imaging device, a display device, a vehicle model identification device, and a bus that connects therebetween, and the vehicle model identification device includes an input device, a storage device, and a processor. A user performs a search with the input device, and the processor causes the display device to display a first vehicle image list, a vehicle image, and a reference image according to a first rule from the search condition. The user refers to the reference image, examines a feature of a target vehicle model, and specifies a partial region which is a feature. The processor acquires partial specification information of the specified partial region, searches for the target vehicle model based on a second rule, and displays a second vehicle image list and the vehicle image on the display device.

Abstract: To allow identifying or estimating a vehicle model of a vehicle even in a case where it is impossible to identify the vehicle model on the basis of a feature amount of at least a portion of a vehicle body of the vehicle, a vehicle model identification device (2) of the present disclosure includes a storage unit (14) that stores a first database in which a feature amount of at least a portion of a vehicle body of each of a plurality of vehicle models, for each of the vehicle models is stored, and a second database in which a feature amount of a component which is included in at least the portion of the vehicle body of each of the vehicle models is stored, and a processor (15) that performs a first vehicle model identification process of identify the vehicle model of the vehicle with reference to the first database on the basis of the feature amount of at least the portion of the vehicle body which is extracted from a captured image, and a second vehicle model identification process of identifying the vehicle m

Abstract: A person counting device is provided to count the number of persons passing through a counting area set in a monitoring area, and includes: a counting condition setter that sets a non-walkable area and the counting area; a traffic line acquirer that acquires a traffic line for each person; a passing-person counter that counts the number of persons passing through the counting area based on the traffic line; a traffic line determinator that determines whether or not the traffic line passes through the non-walkable area; a correction area selector that estimates the counting area existing on an avoidance route that does not pass through the non-walkable area based on the state of the traffic line, and selects the counting area as a correction target; and a passing-person counting corrector that corrects the number of passing persons with regard to the counting area selected as the correction target.

Abstract: A monitoring device is provided with a person image analyzer which has a person detector which detects a person from captured moving images and acquires positional information which relates to a person area, and an area state determinator which determines an area state which indicates the state of people in the person area based on the positional information, a mask image setter which sets the mask image which corresponds to the area state, and a moving image output controller which generates and outputs output moving images where the person area is changed to the mask image which corresponds to the area state based on the positional information and the area state which are output from the person image analyzer.

Abstract: A monitoring device is provided with a person image analyzer which has a person detector which detects a person from captured moving images and acquires positional information which relates to a person area, and an area state determinator which determines an area state which indicates the state of people in the person area based on the positional information, a mask image setter which sets the mask image which corresponds to the area state, and a moving image output controller which generates and outputs output moving images where the person area is changed to the mask image which corresponds to the area state based on the positional information and the area state which are output from the person image analyzer.

Abstract: A person counting device is provided to count the number of persons passing through a counting area set in a monitoring area, and includes: a counting condition setter that sets a non-walkable area and the counting area; a traffic line acquirer that acquires a traffic line for each person; a passing-person counter that counts the number of persons passing through the counting area based on the traffic line; a traffic line determinator that determines whether or not the traffic line passes through the non-walkable area; a correction area selector that estimates the counting area existing on an avoidance route that does not pass through the non-walkable area based on the state of the traffic line, and selects the counting area as a correction target; and a passing-person counting corrector that corrects the number of passing persons with regard to the counting area selected as the correction target.