Abstract:
It selects learning data that is effective for learning a learning model. An identification information assignment device comprising: a processor; and memory, wherein, using the memory, the processor: acquiring a plurality of image data; selecting a part of the plurality of image data as learning data; assigning identification information to the selected image data by using a learning model which is recorded in the memory; and updating the learning model by using the selected image data to which the identification information is assigned, wherein identification information is assigned to a rest of the plurality of image data by using the updated learning model, the rest of the plurality of image data being different from the selected image data.
Abstract:
A screen generating device which receives a first operation signal of a touch operation from each of a plurality of terminals, and transmits content matching each of the plurality of terminals, and includes: an operation signal receiver which receives the first operation signal; an operation type determining unit which determines a type of the first operation signal; an operation signal converter which converts the first operation signal into a second operation signal of a mouse operation; and a plurality of browsers which generates a screen of the content matching each of the plurality of terminals by using the first operation signal or the second operation signal based on a result of the determination made by the operation type determining unit. Consequently, it is possible to cause a server to receive an operation of each of a plurality of client terminals and cause each client terminal to operate one desktop of the server.
Abstract:
A data analysis device for controlling generation of at least one data string indicating a detection result of an object detected in time sequence in a field, including: a display to display information; an input interface to receive a user operation; and a processor to control a data controller that manages the detection result of the object to generate the data string. The processor causes the display to display display information including an adjacency range in which ends of a plurality of fragments of the data string are adjacent to each other in the field, receives, via the input interface, the user operation to adjust a parameter indicating a condition for the plurality of fragments of the data string to be connected to each other in the adjacency range, and controls the data controller to apply the adjusted parameter in the adjacency range according to the user operation on the input interface.
Abstract:
The prediction device includes a storage storing measure implementation information representative of an effect of the measured on a first target, and a control circuit predicting an effect of the measures on a second target having no measure implemented therein based on the measure implementation information; the control circuit constructs a first graph made up of a plurality of nodes including at least one first node associated with the first target and at least one second node associated with the second target, and a plurality of links connecting the nodes based on a similarity between the nodes; and based on the measure implementation information, the control circuit determines a degree of the effect of the measures on the first node and propagates the degree of the effect of the measures on the second node by using the first node as a base point in the first graph.
Abstract:
It reduces labor and time to generate training data for the training model. An identification information assignment apparatus includes an acquirer configured to acquire a plurality of pieces of image data, an assigner configured to assign identification information to image data selected from the plurality of pieces of image data by using a learning model after learning, and an updater configured to update the learned model using the image data to which the identification information is assigned, wherein the assigner assigns identification information to a rest of the image data acquired by the acquirer using the learned model that has been updated.
Abstract:
A model generating device according to the present disclosure includes: an acquisition unit that acquires demand information indicative of the number of sales of a product in a shop for a past predetermined period and external information relevant to the number of sales of the product; and a controller that generates a forecasting model for calculating a forecast value of demand for the product based on the demand information and the external information, wherein the controller includes a simulator that simulates the number of displayed pieces of the product based on the demand information and the forecast value and a forecasting model generator that generates the forecasting model based on the external information and the number of displayed pieces of the product and calculates the forecast value by using the forecasting model.
Abstract:
A monitoring device (2) identifies an object from videos made by a plurality of cameras (1) including a first camera and a second camera and having a predetermined positional relationship. The monitoring device has a receiving unit (21) configured to receive the videos from the plurality of cameras, a storage unit (22b, 22c) configured to store feature information indicating a feature of the object and camera placement information indicating placement positions of the cameras, and a controller (23) configured to identify the object from the videos based on the feature information. If an object has been identifiable from the video made by the first camera but has been unidentifiable from the video made by the second camera, the controller (23) specifies, based on the camera placement information, the object in the video made by the second camera.
Abstract:
A monitoring device (3) identifies a person from videos made by a plurality of cameras (1) installed in a predetermined region where a plurality of products are arranged. The monitoring device includes a receiving unit (31) configured to receive the videos from the plurality of cameras (1) and purchase history information indicating a product purchased by the person from a POS register (2) installed in the predetermined region, a storage unit configured to store feature information indicating a feature of the person and shooting region information indicating shooting regions of the cameras, and a controller (33) configured to identify the person from the videos based on the feature information. The controller (33) specifies the camera which captured the shooting region through which the person passed based on the purchase history information and the shooting region information.
Abstract:
A recommendation image display system includes: a receiving unit which receives content related information items each of which includes a content recommendation level determined based on a content viewing history of a content item obtained from a corresponding one of a plurality of terminals; a generating unit which generates a recommendation image in which a plurality of icons for allowing a user to select one of content items are displayed based on the received content related information; and a display unit which displays the recommendation image. The plurality of icons include a first icon and a second icon indicating a content item having a recommendation level higher than that of the content item indicated by the first icon. The generating unit generates the recommendation image in which the second icon is displayed in the mode in which the second icon is more likely to be selected by the user than the first icon.