Server, analysis method and computer program product for analyzing recognition information and combination information

A system for virtual fitting comprising:

• a first handheld terminal comprising:
• a first processor,
• a first imager coupled to the first processor,
• a first display device coupled to the first processor;
• and
• a first output card;
• a second terminal installed in a store comprising:
• a second processor;
• a second imager coupled to the second processor;
• and a second display device coupled to the second processor;
• and
• a server for providing virtual fitting information comprising:
• a third processor;
• a recognition information storage configured to store a plurality of pieces of the recognition information output from the first terminal;
• and
• a combination information storage configured to store a plurality of pieces of the combination information output from the second terminal;
• wherein the first processor is configured to:
• capture an image using the first imager;
• recognize a first product image from the captured image by identifying at least one of a product identification or a plurality of attributes from the captured image;
• estimate a product included in the first product image and acquire, from the server, first product information including product identification information identifying the product estimated from the first product image and including a plurality of kinds of related information relating to the product estimated from the first product image, at least one of the plurality of kinds of related information being information of the store in which the product estimated from the first product image is sold and the second terminal is installed;
• and
• per recognizing, output to the server recognition information including the product identification information of the estimated product, estimated from the first product image and a date and time when the recognition information is generated;
• wherein the second processor is configured to:
• acquire, from the server, second product information of each of a plurality of products, the second product information including product identification information identifying each of the plurality of products and second product images for each of the plurality of products;
• receive from the second display device a second product image selected by the user, the second product image being included in the second product information;
• capture an object image that images the user using the second imager;
• combine, among a plurality of pieces of second product information, the second product image with the object image;
• and
• per combining, output to the server combination information including the product identification information included in the second product information used for the combining and a date and time when the combination information is generated;
• wherein the third processor is configured to:
• acquire sales promotion information and purchase information associated with the plurality of products, the purchase information including product identification information and a date and time when the purchase information is generated;
• store the sales promotion information and purchase information in the sales information storage;
• calculate product priorities for the plurality of products based on a first product priority, a second product priority, a third product priority of each product, the first product priority being calculated per product by analyzing the stored pieces of recognition information, the second product priority being calculated per product by analyzing the stored pieces of combination information, and the third product priority being calculated per product by analyzing the stored pieces of purchase information;
• set a higher value in calculating the first product priority of a product represented by product identification information associated with recognition information generated at a date and time closer to a current date and time;
• set a higher value in calculating the second product priority of a product represented by product identification information associated with combination information generated at a date and time closer to a current date and time;
• set a higher value in calculating the third product priority of a product represented by product identification information associated with purchase information generated at a date and time closer to a current date and time;
• generate recommendation information recommending the store information and obtain information for updating the stored sales promotion information by analyzing information including the stored purchase information when a product priority of the product estimated by the first terminal satisfies a first predetermined condition and the product identification information of the product estimated by the first terminal is not included in the pieces of combination information stored in the combination information storage;
• and
• output the recommendation information to the first terminal and the information for updating the stored sales promotion information to the third terminal, wherein on the basis of the recommendation information output from the server, the processing circuitry of the first terminal selects the store information from among the plurality of kinds of related information and displays the store information.

A method for a virtual fitting system comprising a first handheld terminal, a second terminal installed in a store, and a server for providing virtual fitting information, the method comprising:

• by the first terminal:
• capturing an image using a first imager;
• recognizing a first product image from the captured image by identifying at least one of a product identification or a plurality of attributes from the captured image;
• estimating a product included in the first product image;
• acquiring, from the server, first product information including product identification information identifying the product estimated from the first product image and including a plurality of kinds of related information relating associated with the product estimated from the first product image, at least one of the plurality of kinds of related information being store information of the store in which the product estimated from the first product image is sold and the second terminal is installed;
• and
• per recognizing, outputting to the server, recognition information including the product identification information of the estimated product, estimated from the first product image and a date and time when the recognition information is generated;
• by the second terminal:
• acquiring, from the server, second product information of each of a plurality of products, the second product information including product identification information identifying each of the plurality of products and second product images for each of the plurality of products;
• receiving from a display device a second product image selected by the user, the second product image being included in the second product information;
• capturing an object image that images the user using a second imager;
• combining, among a plurality of pieces of second product information, the second product image with the object image;
• and
• per combining, outputting to the server combination information including the product identification information included in the second product information used for the combining and a date and time when the combination information is generated;
• and
• by the server:
• storing a plurality of pieces of the recognition information output from the first terminal in a recognition information storage;
• storing a plurality of pieces of the combination information output from the second terminal in a combination information storage;
• calculating product priorities for the plurality of products based on a first product priority and a second product priority of each product, the first product priority being calculated per product by analyzing the stored pieces of recognition information, the second product priority being calculated per product by analyzing the stored pieces of combination information;
• setting a higher value in calculating the first product priority of a product represented by product identification information associated with recognition information generated at a date and time closer to a current date and time;
• setting a higher value in calculating the second product priority of a product represented by product identification information associated with combination information generated at a date and time closer to a current date and time;
• generating recommendation information recommending the store information when a product priority of the product estimated by the first terminal satisfies a first predetermined condition and the product identification information of the product estimated by the first terminal is not included in the pieces of combination information stored in the combination information storage;
• and
• outputting, based the recommendation information to the first terminal;
• and by the first terminal on the basis of the recommendation information output from the server, selecting the store information from among the plurality of kinds of related information and displaying the store information.