20240037641. AUGMENTED REALITY ORDER ASSISTANCE simplified abstract (NCR Corporation)

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AUGMENTED REALITY ORDER ASSISTANCE

Organization Name

NCR Corporation

Inventor(s)

Kip Oliver Morgan of Atlanta GA (US)

Gina Torcivia Bennett of Lawrenceville GA (US)

Kelli Lee of Atlanta GA (US)

Jacob Alexander Poston of Loganville GA (US)

AUGMENTED REALITY ORDER ASSISTANCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240037641 titled 'AUGMENTED REALITY ORDER ASSISTANCE

Simplified Explanation

The abstract of the patent application describes a system where 3D model images for menu items are stored in a content delivery network (CDN) along with codes. These codes are printed or affixed to menus next to the corresponding menu items. Users can use an augmented reality (AR)-enabled application to scan the code and retrieve the 3D model image from the CDN. The user can then view the 3D model image on the menu by aligning a view-finder over an anchor object on the menu.

  • The system uses a CDN to store and deliver 3D model images for menu items.
  • Codes are printed or affixed to menus to identify the menu items.
  • Users can use an AR-enabled application to scan the code and retrieve the corresponding 3D model image.
  • The 3D model image is rendered on the menu by aligning a view-finder over an anchor object.
  • Users can spin the 3D model to inspect proportions and ingredients of the menu item.

Potential applications of this technology:

  • Enhancing menu visualization: This technology allows users to see realistic 3D representations of menu items, providing a more immersive and visually appealing dining experience.
  • Improving menu understanding: The ability to spin and inspect 3D models of menu items can help users better understand the proportions and ingredients of the dishes they are considering ordering.
  • Marketing and promotion: Restaurants can use this technology to showcase their menu items in a unique and engaging way, attracting customers and increasing sales.

Problems solved by this technology:

  • Lack of visual representation: Traditional menus often rely on text descriptions and static images, which may not effectively convey the appearance and details of menu items. This technology solves this problem by providing realistic 3D models.
  • Limited menu understanding: Without visual aids, customers may have difficulty visualizing the proportions and ingredients of menu items. This technology addresses this issue by allowing users to inspect 3D models.
  • Engaging customers: This technology offers a novel and interactive way for customers to engage with menus, making the dining experience more enjoyable and memorable.

Benefits of this technology:

  • Enhanced customer experience: The ability to view 3D models of menu items helps customers make more informed choices and enhances their overall dining experience.
  • Increased sales: The visually appealing and interactive nature of this technology can attract more customers and encourage them to order menu items they may not have considered otherwise.
  • Differentiation: Restaurants that adopt this technology can stand out from competitors by offering a unique and innovative dining experience.


Original Abstract Submitted

three-dimensional (3d) model images for menu item are maintained in a content delivery network (cdn) along with codes. the codes are printed/affixed to menus adjacent to the menu items. the menus include an anchor object that is sized in proportion to plates that serve the menu items. a user operates an augmented reality (ar)-enabled application (app) and uses a gesture to identify a code associated with a menu item from a menu. the code is decoded to contact the cdn and obtain the 3d model image corresponding to the menu item. the user centers a view-finder over the anchor object on the menu and the 3d model image is rendered on the anchor object in a scaled size and a scaled proportion for what will be provided to the user. the user may spin the 3d model to inspect proportions and ingredients of the menu item through the app.