Wide-Area AR Clustering for Location-Based Content Delivery

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing augmented reality (AR) systems fail to differentiate between sub-areas based on AR content densities and do not segment areas into clusters based on viewable content, leading to inefficient delivery of AR content.

Innovation Solution

A content management system that includes a content management engine coupled with an area database and a content database, which derives views of interest and establishes AR experience clusters within an initial map, generating a tessellated tile map to deliver AR content objects based on precise location and object recognition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If AR content is delivered based on general location data, then content delivery is simple, but content relevance and precision are poor

Engineering Contradiction:
Improvelocation precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides a broad geographic area into multiple sub-areas with distinct AR content densities. Each sub-area is further segmented into clusters based on viewable content characteristics. This hierarchical segmentation enables precise location identification while managing system complexity through modular area databases and content databases that store organized location and content data respectively.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by differentiating content delivery strategies for different sub-areas based on their specific AR content densities. Each sub-area receives customized content selection and delivery parameters tailored to its local characteristics, such as high-density areas receiving prioritized content while low-density areas use standard delivery methods.

Inventive Principle:
Principle #3Local quality

2Productivity

If all AR content is delivered to all users, then content availability is high, but network bandwidth and device resources are wasted

Engineering Contradiction:
Improvecontent delivery efficiencyVSAvoidnetwork bandwidth consumption
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary actions by pre-segmenting areas into clusters and pre-identifying viewable content characteristics before actual AR content delivery. The content management system pre-processes location data and content metadata to create optimized delivery lists, so that when a user enters a sub-area, only relevant content needs to be transmitted, significantly reducing network bandwidth consumption while maintaining high content delivery efficiency.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If AR content delivery is customized for each sub-area, then content relevance improves, but system complexity increases

Engineering Contradiction:
Improvecontent customizationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements universality through a standardized content management system architecture that handles multiple sub-areas with different characteristics using a single unified framework. The system uses universal data structures for area databases and content databases, and applies consistent clustering algorithms across all sub-areas, enabling content customization for each sub-area without proportionally increasing system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12406441B2Wide area augmented reality location-based services
Publication Date: 2025.09.02 NANT HOLDINGS IP LLC
  • US12406441B2 patent drawing
  • US12406441B2 patent drawing
  • US12406441B2 patent drawing

AI summary

Apparatus, methods and systems of providing AR content are disclosed. Embodiments of the inventive subject matter can obtain an initial map of an area, derive views of interest, obtain AR content objects associated with the views of interest, establish experience clusters and generate a tile map tessellated based on the experience clusters. A user device could be configured to obtain and instantiate at least some of the AR content objects based on at least one of a location and a recognition.