936 results about "Product image" patented technology

A mobile inventory robot system generates an inventory map of a store and a product database when a mobile inventory robot is manually navigated through the store to identify items on shelves, a location for each of the items on the shelves, and a barcode for each of the items. The system performs inventory of the items by navigating through the store via the inventory map, capturing a shelf image, decoding a product barcode from the captured shelf image, retrieving a product image for the decoded product barcode from the product database, segmenting the captured shelf image to detect an image of an item on the shelves, determining whether the detected image matches the retrieved image and, if not, setting an out-of-stock flag for an the item.

The current invention includes an improved system for an e-commerce vendor to seamlessly incorporate products and services from a third party into its own e-commerce site. This system enables the e-commerce vendor to display the third party products and to accept orders and arrange fulfillment of these products through its own site in a manner that is seamless to the end user. When the e-commerce retailer requests product information from the supplier, the supplier provides the retailer with product information and URLs at which additional information can be located. The retailer uses this information to retrieve product images, descriptions and information and to display this information to its customer on its own site. Each of these items is tagged with a unique element identifier that contains a number of details about the product. This information tagged to the product image or description enables the product to be easily identified by both the retailer and the supplier. When the customer purchases the products from the retailer, the necessary information is tagged to the product information and, thus, is available for placement of the order with the supplier. This enables the product order to be routed to and fulfilled by the third party supplier in a manner that is transparent to the customer.

A system and method for creating and serving image-based contextual advertising through programmatically composed image collages, including the procurement, indexing and matching of query images, the procurement, indexing and matching of web images and the transferring of indexed and matched data from those web images to the query images, the procurement, indexing and matching of product images to be used as collage ad components, the matching and selection of one or more decorative template elements and one or more structural templates, the programmatic combining of the product images and the templates and template elements into a collage and the distribution of this collage for display to a user as a collage ad, based at least in part on the visual data extracted and indexed from the query image.

A system for rendering a merged virtual 3D augmented replica of a 3D product image and a 3D model image of a body part. A 3D modeling engine transforms an acquired 2D image of a body part into a 3D augmented replica thereof. A GUI enables the merging, displaying and manipulating of the 3D product image and the 3D augmented replica of a body part.

A system and method is presented for identifying a plurality of products within a collection of product images in an online shopping environment. The method includes providing the collection of images representing products offered for sale; receiving an input search criteria from a prospective customer. The criteria include at least one of a query color. The method also includes identifying and extracting colors within the collection of images based on a presence of significant colors in an image; and comparing and matching the query color to the identified and extracted significant colors. The method continues by determining, within a predetermined range of accuracy, products from within the collection of images having the matched query color; and presenting the determined products to the prospective customer. In one embodiment, the presentation is provided by means for a graphical user interface.

A computer implemented method of generating an image display. A database stores images of products to be sold by a merchant and templates for organizing a display of the images. The templates each have attributes matching a particular product inventory and images of particular products can be disposed in preselected and predesigned locations in the template. When an inventory of products offered for sale by the merchant changes or is updated, then the template attributes can be changed to reflect the current inventory. The current product images can then be displayed within a template on at least one electronic display.

Electronic document design systems and methods allowing a user engaged in customizing an electronic product to re-crop product images in a manner that is compatible with the product layout. Upon selection of an image area in the product design, the user can choose to re-crop the image currently displayed in the image area or to select and crop a different image to be used in the selected image area. A cropping indicator that can be resized and repositioned is provided to the user. The cropping indicator is automatically sized to have and retain the same height to width ratio as the selected image area. Upon completion of any resizing or repositioning operation, the selected image area of the electronic product is updated to reflect the cropping changes made by the user.

Force and location sensing systems and methods are disclosed. A method comprises bending a L-beam at an initially unknown location on a force-supporting portion of the L-beam, the L-beam substantially having a tension side and a compression side, measuring a first local stress at a first location on the tension side, measuring a second local stress at a second location on the tension side, measuring a third local stress at a third location on the compression side, and measuring a fourth local stress at a fourth location on the compression side. A weight-sensing storage system capable of tracking removed items is disclosed with a product image captured via a camera, a plurality of sensors on an L-beam, a first signal from the plurality of sensors indicating a first state prior to change of the product image, and a second signal indicating lower strain on the L-beam than the first signal.

Force and location sensing systems and methods are disclosed. A method comprises bending a L-beam at an initially unknown location on a force-supporting portion of the L-beam, the L-beam substantially having a tension side and a compression side, measuring a first local stress at a first location on the tension side, measuring a second local stress at a second location on the tension side, measuring a third local stress at a third location on the compression side, and measuring a fourth local stress at a fourth location on the compression side. A weight-sensing storage system capable of tracking removed items is disclosed with a product image captured via a camera, a plurality of sensors on an L-beam, a first signal from the plurality of sensors indicating a first state prior to change of the product image, and a second signal indicating lower strain on the L-beam than the first signal.

Product order and shipping information received via email messages is automatically aggregated for ready user review. Once the user is authenticated, authorization to access their email mailbox is obtained and the email message headers of their entails are analyzed to identify those messages of interest. The bodies of the email messages of interest are parsed to extract the product order and shipping information which is stored and presented for display to the user typically grouped by individual product thus greatly simplifying user review of orders. The aggregated product order and shipping information can be augmented with additional information such as shipping status, delivery status, a product image, and / or a last date that the product can be returned.

In a database, product image data is accumulated. A search portion acquires product image data having the image characteristics information that is the same as or similar to the image characteristics information that indicates the characteristics of the image of input image data from the database for the input image data. A search server outputs information on another product that is different from the product corresponding to the product image data together with the product image data acquired by the search portion.

An apparatus, system, and method are disclosed for product identification using image analysis and user interaction. The method may include comparing a retail product image to a plurality of candidate retail product images. In addition, the method may include generating a candidate product set containing candidate retail product images satisfying image comparison criteria. The method may determine one or more product identity queries configured to solicit additional product identity information from a user. In addition, the product identity queries may eliminate one or more members of the candidate product set. The method may query the user with these inquiries and determine a product match based on the user's response. Therefore a user may obtain information about a product using only a picture and a user's knowledge of the product.

Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and / or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.

The present invention provides a method of operating an on-line market system by receiving a photograph of a plurality of sides of a product, constructing a three dimensional product image from the photographs, and displaying the three dimensional product image in a three dimensional mall representation. Additionally, by receiving at least one product image at a seller's node, storing the product information in a seller's database, constructing a three dimensional store, positioning the product image in the store, constructing a three dimensional mall, positioning the store in the mall, and providing buyer access to the mall from a buyer's node. Also, by opening a plurality of socket connections between a mall network and a buyer, opening a plurality of socket connections between a mall network and a second buyer, and providing a database means to route a network connection between the buyer and second buyer wherein the connection provides bisynchronous.

The invention discloses an injection-molded product defect detection and recognition method, which comprises the following steps: 1) images of a normal injection-molded product and a known defect-existing injection-molded product are acquired, and the images are classified and samples are generated; 2) a multi-layer convolutional neural network model is built; 3) the samples in the first step are used for training the convolutional neural network model built in the second step; and 4) the acquired actually-measured injection-molded product images are preprocessed and inputted to the convolutional neural network model after training completion in the third step, the convolutional neural network model carries out classification and recognition on the actually-measured injection-molded product images so as to judge whether injection molding defects exist in the injection-molded product, and if the defects exist, the defect types are classified. The built convolutional neural network model of the invention adopts the same feature selection and extraction mode for various injection-molded defects, is strong in adaptability, and can be used for detection and recognition of various types of defects of the injection-molded product.

The invention relates to electronic commerce and specifically to a method of adding desired product from various online stores to a single online third-party universal product registry used to provide services such as online gift registries, wish lists and online product catalogs. Prevalent techniques to add product information from any online store to a single registry has following deficiencies: 1. Precise information of the product e.g. image, price, and description cannot be captured. 2. To get this precise information, it requires software-programming integration with every online store making it impractical. This also necessitates the use of prime real estate on every merchant store, which they may not offer. The invention solves these deficiencies with a small software that works in conjunction with prevalent Internet Browsers by providing a simple one-click interface on the product image to record the image, description and price of the product to a single registry.

Methods and apparatuses for making a stocking strip for pegboard stocking. The stocking strip includes an elongated strip containing information for locating a plurality of different products on a peg board display, a first identification number for identifying the strip, a first text area for identifying a source planogram or print job, a second text area for listing stocking location in a sales establishment which contains the pegboard display, a third text area for listing a height for the product, a demarcation for indicating a span of the position of the product on the pegboard, a product image, a product identifier, a color marker and a peg indicator for locating the peg on the pegboard display.

A method for test-wearing image producing method for a personal product includes the steps of: posting a base image layer which contains an image of a wearer; defining a display area and a masking area on the base image layer in responsive to the personal product being physically worn by the wearer; selecting a product image layer containing an image of the personal product to locate on the base image layer; and creating a test-wearing image, wherein a portion of the image of the personal product within the display area is visibly shown on the image of the wearer while a portion of the image of the personal product within the masking area is invisibly hidden, such that the test-wearing image contains a virtual appearance of the wearer physically wearing the personal product.

A system for product advertising through a telecommunication network is disclosed. The system comprises an advertising engine and an information depot. The advertising engine comprises an information-extraction tool for acquiring product information, an authoring tool for tracking product images appearing in a display of a video recording, and an augmented-display tool for relating product images appearing in a display of a video recording to respective product information. The information depot comprises a global product directory and overlay directories for a set of video recordings. A number of authoring computers connect to the advertising engine of the present invention as well as streaming video sources and advertising databases to generate content of the information depot. The advertising engine distributes the augmented-display tool to viewers' computers which accesses the video-content directory and the product directory to acquire respective overlay directories and associated product data.

System and method for contextual advertising in which a video file is encoded with cue points, and an XML file containing contextual advertisement information for at least three products is generated. When a first cue point is reached, the product image, product name and product description for the first contextual advertisement are encapsulated in a link to the product URL and displayed in a bottom panel. As each successive cue point is reached, the product image, product name and product description for each successive contextual advertisement are encapsulated in a link to the product URL for that contextual advertisement and displayed in the bottom panel, and the product image and product name for the contextual advertisement last appearing in the bottom panel are encapsulated in a link to the product URL and added to the side panel.

A product selling system is provided which allows clients with networks accessible to the Internet to contact a service provider network for purchases. The service provider network includes a database with three dimensional (3D) image data for a variety of its products, and an application which allows a 3D product image to be integrated into a corresponding 3D image of a projected receiving space for the product prior to purchase. A web server which has a program operative with the database facilitates image manipulation to produce a 3D sample image from a product image on the web page if a client desires.

A computerized method for creating in a computer system a visual composition. One or more photographs are provided, including respectively images of products for presenting in the visual composition. The images are outlined producing outlines of the product images. Based on the outlines, an arrangement is selected from multiple previously defined arrangements. The arrangement becomes the selected arrangement for presenting the images in the visual composition. The images are positioned in the selected arrangement based on at least one previously defined rule. A set of metadata is preferably associated with each photograph and / or with each product; and the selection of the selected arrangement is performed based on the metadata and / or on extractable features. Scaling of the images is preferably based on the metadata or on extractable features. Features of the products in the images are preferably extracted based on the outline or from a database. Extractable features include: orientation of the product in the image, lighting at time of capture, camera position at time of capture, faces showing of the product in the image, a rotation angle of the product in the image, a line of symmetry of the product, a scale ratio of product dimension to image dimension, a diagonal of the outline, product meta data, product category, product orientation, product real dimensions, and product colors.

Product data for a product is received by an attribute selection module. The product data includes product image data and product text data. This product data is used to generate a plurality of probability distributions for a category. The category includes a plurality of attributes, and the probability distribution includes a plurality of probabilities indicating the likelihoods that attributes of the category are applicable to the product. The plurality of probability distributions for the category are weighted and summed to generate a combined probability distribution for the category. An attribute label is determined by selecting an attribute from the category that is indicated to be most likely applicable to the product based on the combined probability distribution for the category. The attribute label is associated with the product. The attribute label enables other services to search for and retrieve the product based on the attribute.

Identification of objects in images. All images are scanned for key-points and a descriptor is computed for each region. A large number of descriptor examples are clustered into a Vocabulary of Visual Words. An inverted file structure is extended to support clustering of matches in the pose space. It has a hit list for every visual word, which stores all occurrences of the word in all reference images. Every hit stores an identifier of the reference image where the key-point was detected and its scale and orientation. Recognition starts by assigning key-points from the query image to the closest visual words. Then, every pairing of the key-point and one of the hits from the list casts a vote into a pose accumulator corresponding to the reference image where the hit was found. Every pair key-point / hit predicts specific orientation and scale of the model represented by the reference image.

A technique for combining user selectable product images and facilitating visualization-assisted coordinated product acquisition. One or more products having one or more associated product images may be identified. The one or more product images may be image processed by incorporating the image(s) into an anchor image to generate a composite anchor image that depicts the one or more products according to an intended manner of use thereof. The image processing may include using product dimension information to scale the one or more product images as necessary to match a scale of the anchor image. The composite anchor image may be caused to be displayed in association with one or more user interface elements, the user interface elements being operable to initiate a coordinated product transaction involving the one or more products. Responsive to the one or more user interface elements being activated, the coordinated product transaction may be initiated.

A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

A three dimensional web store having product images is created. Three dimensional product images are rendered from manufacturing information instead of the products themselves. The location of all products, advertisements, aisles, signs, and displays is determined for a real world store. The web store is then created using three dimensional internet or virtual world viewing and maneuvering capabilities, to appear identical to the real world store.