Abstract: A data analysis device, for analyzing efficiency of an assembly line operation including processes, includes: an input interface configured to acquire log data indicating a history of the processes respectively performed for each time of the assembly line operation; and a control circuit configured to generate analysis information indicating an analysis result of the history indicated by the log data, based on information generated by a probability model to calculate probability distribution for the assembly line operation.

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 quality estimation device for generating information on quality with which a plurality of unit products are obtained by using a plurality of facilities to pass at least one step, includes: a memory that stores quality control data associating the facilities passed for each of the unit products in the step when the unit products are obtained, with quality for the obtained unit products; and a circuit that controls calculation processing based on the quality control data stored in the memory. The circuit extracts a plurality of pass records from the quality control data, the plurality of pass records each indicating a series of facilities passed by a unit product in the plurality of unit products and quality for the unit product, and generates facility quality information indicating quality with respect to a facility in the plurality of facilities by the calculation processing, based on the extracted pass records.

Abstract: A method evaluating a decrease in production performance for a target work. A work efficiency evaluation method includes the steps of: reading, from a storage, model data used for evaluating work efficiency and generated based on operation data related to work including a predetermined work time and a predetermined work amount; calculating an degree of impact of a decrease in work efficiency on the basis of data related to time required for work and a work amount by the model data; and evaluating a decrease in production performance in accordance with the degree of impact.

Abstract: A demand prediction device includes a memory and a processor that, when executing instructions stored in the memory, performs a process which includes acquiring an input variable including delivery date and time, predicting a heat map corresponding to the input variable by using a heat map prediction model for predicting a heat map which indicates, for each segment, the number of distributions of delivery destinations distributed in at least one of a plurality of segments constituting a delivery target area, predicting the minimum number of delivery vehicles corresponding to the predicted heat map by using a minimum delivery vehicle number prediction model for predicting the minimum number of the delivery vehicles for delivering a package to the delivery destination, and determining the predicted minimum number of the delivery vehicles as the number of delivery vehicles at the delivery date and time included in the input variable.

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: 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: An evaluation device evaluates a placement position of an item placed on a shelf in a shop, and includes: an obtaining unit that obtains traffic line information indicating a plurality of persons passing in front of the shelf and purchased-item information indicating one or more purchased items, the one or more purchased items being purchased in the shop by the plurality of persons; and a controller that calculates a passing probability in front of the shelf, based on the traffic line information, calculates a purchase probability of the item placed on the shelf, based on the purchased-item information, and calculates an evaluation value, of the item placed on the shelf, at a placement position, based on the passing probability and the purchase probability calculated.

Abstract: A prediction device is a device that predicts a flow of a person after a layout change of goods in a region, and the prediction device includes: an obtaining unit that obtains traffic line information representing flows of a plurality of persons in the region, layout information representing layout positions of the goods, and change information representing a layout change of the goods; and a controller that generates an action model of a person in the region, by an inverse reinforcement learning method, based on the traffic line information and the layout information and that predicts a flow of a person after the layout change of the goods, based on the action model and the change information.

Abstract: A simulation device includes an acquisition unit that acquires people flow information indicating a flow of people moving in a facility such as a store, purchase data indicating at least one item that is a product or a service purchased in the facility, and price information indicating a price of the at least one item placed in the facility, a people flow model generator that generates a people flow model based on the people flow information, a purchase model generator that generates a purchase model based on the purchase data and the people flow information, and a simulation execution unit that calculates, based on the price information, the people flow model, and the purchase model, a predicted value of a purchase amount of the at least one item purchased by a person moving in the facility.

Abstract: An information presentation device includes an input unit that inputs a setting value for setting two periods to be compared, an acquisition unit that acquires information on a passage rate indicating a proportion of a number of people passing through each of a plurality of areas constituting an inside of a facility and sales information indicating a sales amount of an item in each of the areas, a difference calculator that calculates a difference in the passage rate between the two periods and a difference in the sales amount between the two periods, and a display unit that displays at least one of the difference in the passage rate and the difference in the sales amount.

Abstract: An information presentation device includes an acquisition unit that acquires purchase data indicating items purchased in a facility, position information indicating where each of items is placed in the facility, and a layout map representing an inside of the facility, and a controller that extracts a plurality of items purchased by a person from the purchase data based on a predetermined condition and generates sales information on the plurality of items thus extracted based on the purchase data, and a display unit that displays a first figure representing each of the plurality of items purchased by the person and a second figure representing a link between the plurality of items together with the layout map representing the inside of the facility based on the sales information and the position information.

Abstract: An obtaining unit obtains store-visitor number information indicating a store-visitor number, which is a number of customers who visited a store, waiting customer number information indicating a waiting customer number, which is a number of customers waiting to be processed at a plurality of cash registers installed in the store, and influx number information indicating an influx number, which is a number of customers added to the waiting customer number. An influx number prediction unit calculates a predicted influx number, which is a number of customers who are expected to be added to the waiting customer number at the plurality of cash registers after a predetermined time from a current time point, based on the store-visitor number information and the influx number 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.

Abstract: A first tabulation device includes a classification ID acquisition unit that acquires classification IDs of consumers, a purchase ID acquisition unit that acquires purchase IDs of products or services, and an analysis unit that tabulates the classification IDs and the purchase IDs, and analyzes first tabulation information indicating distribution of the classification IDs with respect to the purchase IDs. A second tabulation device includes a classification ID generation unit that generates the classification IDs, based on frequency of a predetermined behavior of the consumers, and a calculation unit that calculates second tabulation information indicating distribution of the frequency of the predetermined behavior with respect to a purchase ID, based on the first tabulation information input from the first tabulation device and the classification IDs.

Abstract: A three-dimensional video processing apparatus includes: a video obtaining unit which obtains a 3D video for three-dimensional viewing; a position obtaining unit which obtains a position of a first area which is an area included in a part of the 3D video; a disparity obtaining unit which obtains disparity amounts of the 3D video; a determination unit which determines a size of an enlargement area; and an area selection unit which selects, as the enlargement area, at least one second area that has disparity amounts within a predetermined range, includes the first area, and has a size determined by the determination unit.

Abstract: A video output device according to the present disclosure synthesizes a plurality of videos into a video to be displayed. The video output device includes image processing unit and output unit. The image processing unit extracts a plurality of reference frames from any one reference video selected from the plurality of the videos captured by an imaging unit, and extracts a corresponding frame, most similar to a respective one of the reference frames, from each of the videos excluding the reference video. The output unit outputs a synthesized frame which image processing unit synthesizes from the each of the reference frame and the corresponding frame.

Abstract: A tactile feedback system includes: a removing section for removing a contact-device-specific oscillating waveform, included in both a first contact-generated waveform representing a frictional vibration produced when a contact device contacts with one object and a second contact-generated waveform representing a frictional vibration produced when the contact device contacts with another object, from the first contact-generated waveform; a superposing section for superposing a finger-pulp-specific oscillating waveform, included in both the first finger-pulp-generated waveform representing a frictional vibration produced when a person's finger pulp contacts with the one object and the second finger-pulp-generated waveform representing a frictional vibration produced when the finger pulp contacts with that another object, on the first contact-generated waveform from which the contact-device-specific oscillating waveform has been removed; and a simulating section for displaying a vibration stimulation based on t

Abstract: The present invention provides a technique for sensing and reproducing various feels, which a person gets discretely over a period of time, by time sequential sensing. A tactile processor includes: a movement measuring section for determining a status of contact between a person and an object; a physical measuring section for measuring a physical property value of the object; and a physical-psychological transformation section for generating a tactile feature quantity based on the physical property value that has been measured by the physical measuring section and on the weight of the physical property of an arbitrary object. The weight is variable according a status of contact between the person and the arbitrary object and is calculated based on not only a physical property value representing the status of contact between the person and the arbitrary object but also a tactile feature quantity representing a feel that the person gets when touching the arbitrary object.

Abstract: An image file generation device includes an image obtaining unit configured to obtain data of a stereoscopic image enabling stereovision, an parallax information obtaining unit configured to obtain parallax information for each of sub-regions (divided regions) of an entire region of the stereoscopic image, and a file generator configured to generate an image file including a data part which stores data of the stereoscopic image obtained by the image obtaining unit and a header part which stores management data for the data of the stereoscopic image stored in the data part. The file generator stores, in the header part, parallax information for each sub-region and information on a method of dividing the region, for each sub-region.