Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness. Also, methods providing a data storage system for storing digital renditions of garments; providing a portable communication device to extract color and/or pattern from garments through use of a camera and at least one algorithm; providing a processor capable of accessing locally stored and/or remote information about or learning the preferred matching set of garments; assigning each garment in the set of garments a red-green-blue (RGB) value; providing a suitability ranking for matching compatibility of the garment or the set of garments; and providing recommendations for preferred matching garment or set of garments by organizing the garments in at least one queue selected from the group consisting of audial, tactile, visual or a combination thereof, wherein the individual imports garments or set of garments, through a series of photos or video, for bulk import into a virtual closet for the identification and assignment of type of garments or set of garments using human or computational methods.

This invention will utilize two dimensions on people's head: face dimension (FD) and pupillary distance (PD). FD is defined as measurement from left side face to right side face at the level of eyes. Pupillary-distance can be obtained from an eye doctor's examination.

Exact-frame-fit technology establishes precise relationships among FD, PD, and any eyeglasses that online shoppers want to buy. Therefore, customers can do try-on their selection on computer or mobile device when they do online shopping. If it looks good on computer or mobile device screen, it must be good on customer's actual face. It is WYSIWYG (what you see is what you get).

Online shoppers can measure FD by themselves. They can measure their own PD or get it from any eye doctor. After having these FD and PD data, they can visit exact-frame-fit enabled websites where they can input FD and PD data. The exact-frame-fit enabled websites will render model facial image according to these FD and PD inputs. Exact-frame-fit technology will establish precise relationship among FD, PD, and any eyeglasses that online shoppers want to buy. If it looks good and fit on computer or mobile device screen, it will be truly good in real. This exact-frame-fit technology will make online eyeglasses shopping much easier and accurate. This invention will allow online shoppers to do try-on for any eyeglasses frame much easily and precisely.

This invention will utilize two dimensions on people's head: face dimension (FD) and pupillary distance (PD). FD is defined as measurement from left side face to right side face at the level of eyes. Pupillary-distance can be obtained from an eye doctor's examination.

Exact-frame-fit technology establishes precise relationships among FD, PD, and any eyeglasses that online shoppers want to buy. Therefore, customers can do try-on their selection on computer or mobile device when they do online shopping. If it looks good on computer or mobile device screen, it must be good on customer's actual face. It is WYSIWYG (what you see is what you get).

Online shoppers can measure FD by themselves. They can measure their own PD or get it from any eye doctor. After having these FD and PD data, they can visit exact-frame-fit enabled websites where they can input FD and PD data. The exact-frame-fit enabled websites will render model facial image according to these FD and PD inputs. Exact-frame-fit technology will establish precise relationship among FD, PD, and any eyeglasses that online shoppers want to buy. If it looks good and fit on computer or mobile device screen, it will be truly good in real. This exact-frame-fit technology will make online eyeglasses shoppin

In one embodiment, a method includes receiving a request corresponding to a user interaction on a content platform with a content item, the user interaction originating from a user device. The method includes determining, based on the request, an inventory item and a merchant provider of the inventory item. The method includes confirming availability of the inventory item from the merchant provider. The method includes causing a native checkout user interface to be presented on the user device in conjunction with the content platform. The native checkout user interface corresponds to the inventory item determined from the request. The method includes receiving a checkout request for the inventory item via the native checkout user interface presented on the user device. The checkout request originates from the user device. The method includes facilitating an order between the user and the merchant based on the checkout request.

Disclosed is a method and a system for processing electronic transactions is provided. The system includes an interactive display for displaying a graphical user interface, one or more processing units, and a memory unit for storing one or more programs configured to be executed by the one or more processing units. The graphical user interface includes a top portion and a bottom portion. The one or more programs includes instructions for highlighting an up-arrow on the bottom portion of the graphic user interface demanding to be swipe-up; generating a colored-wave on receiving an interaction through the interactive display; returning the colored-wave back to create the highlighted up-arrow; generating the colored-wave simultaneous to processing of the electronic transaction on receiving a swipe-up; and filling up the graphical user interface completely with the color to indicate the completion of the electronic transaction.

Example embodiments may provide a system, apparatus, computer readable media, and/or method configured for processing input representing data associated with a first product, the first product comprising a plurality of components, processing input representing a particular one of the components, processing input representing an attribute of the particular component or of the first product, querying a product memory based on the particular component and the attribute to identify a second product.

A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.

A system and method are disclosed relating to an automated store or system including an automated fulfillment section having a storage structure for storing fungible and/or non-fungible goods. The fungible and/or non-fungible goods may be retrieved from storage in response to a customer order. The system and method of the present technology allows retrieved fungible and/or non-fungible goods to be sorted and packed in accordance with stored customer preferences.

An example electronic apparatus and an example method for summarizing content thereof are provided. The example method includes displaying content on a display; based on receiving user input for content summarization, determining, as a content summarization range, from among content areas which are not displayed on the display, a content area corresponding to a location on the display at which the user input is detected; summarizing content within the content summarization range according to a type of the content; and displaying the summarized content along with the displayed content. The example electronic apparatus and example method may summarize the content by using a rule-based algorithm or an Artificial Intelligence (AI) algorithm.

A terminal images first and second images respectively indicating facial images of a user before and after makeup, acquires information on a type or region of the makeup performed by the user, and transmits the first and second images and the information on the type or region of the makeup in association with each other to a server. The server deduces a makeup color of the makeup performed by the user based on the first and second images and the information on the type or region of the makeup performed by the user, and extracts at least one similar makeup item having the makeup color based on information on the makeup color and a makeup item database, and transmits information on at least one similar makeup item to the terminal. A terminal displays information on at least one similar makeup item transmitted from the server to a display unit.

A structure has spaces that can accommodate at least two International Organization for Standardization compliant shipping containers. The structure has studs, joists, and rafters connected together above, besides, between, and in front of the spaces for the shipping containers. The structure provides for an attractive outdoor retail space with shading, allowing for signage, decorations, product display, ergonomics, and other retail design features. In an implementation, the structure is for a mobile retail space that is tailored for customizing and manufacture of the customized apparel, especially the laser finishing of products like jeans. The mobile retail space can be relocated to and deployed easily at various events, such as sports events and music festival venues.