Method and system for generating data-enriching augmented reality applications from a domain-specific language

The Need

In the age of augmented reality (AR), there's a growing opportunity for a comprehensive solution that facilitates the seamless exploration of real-world data through camera-based AR applications. These applications require the ability to extract, cache, and enrich information, enhancing the user experience by providing supplementary data from cloud-based sources. To tackle the challenge of managing extensive datastores, a client-server architecture is essential. Therefore, there's a pressing need for an end-to-end software framework that enables users to interact with the physical world via camera-enabled AR interfaces while efficiently accessing relevant data units from remote datastores.

The Technology

This complete software framework for AR applications focuses on information extraction, enrichment, and caching. Key components include:

  • Cross-Modal Data Fusion: The framework leverages cross-modal data fusion to combine data from various sources, enhancing the richness of information available to users.
  • Client-Server Architecture: A client-server architecture is employed to handle extensive datastores, ensuring efficient data retrieval and caching.
  • Gesture-Based Interactions: Users interact with real-world objects through gesture-based interactions, creating an intuitive and immersive AR experience.

Commercial Applications

  • Education and Training: Educational institutions can use AR to create interactive learning experiences, enriching textbooks and lectures with real-time supplementary data.
  • Retail and E-commerce: In retail, customers can use AR to access product details, reviews, and pricing information by simply pointing their camera at items of interest.
  • Tourism and Travel: AR applications powered by this framework can provide tourists with enriched information about landmarks, historical sites, and local attractions as they explore new destinations.
  • Maintenance and Repair: Technicians in various industries can benefit from AR-assisted repair and maintenance procedures, accessing relevant manuals and instructions overlaid on equipment.


  • Enhanced User Engagement: The technology enriches AR experiences, keeping users engaged and informed by seamlessly integrating supplementary data.
  • Efficient Data Management: The client-server architecture efficiently manages extensive datastores, ensuring quick access to relevant information.
  • Intuitive Interaction: Gesture-based interactions make AR applications easy to use, making information retrieval a natural and user-friendly process.
  • Versatility: The framework's versatility allows it to be applied across multiple industries, from tourism to education and beyond, offering a wide range of commercial applications.

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