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EasyAR
Spatial Computing Platform Connecting Everything

What is EasyAR?

EasyAR provides a comprehensive spatial computing platform designed to connect the physical and digital worlds. It offers solutions like EasyAR MEGA for city-scale spatial computing, empowering sectors such as culture and tourism, commercial areas, education, and industry. This is facilitated by a flexible data acquisition scheme, advanced mapping and localization capabilities, and an accessible toolchain.

The platform includes EasyAR Sense for creating augmented reality experiences with features like sparse and dense spatial maps, persistence, and multiplayer modes. Additionally, EasyAR CRS (Cloud Recognition Service) offers a cloud-powered image recognition service capable of managing large image databases. The platform aims to provide reliable, stable, accurate, and fast visual positioning services and integrates with existing AR ecosystems.

Features

  • City-scale spatial computing solutions: Provides tools and services for large-scale AR mapping and localization.
  • Flexible Data Acquisition: Offers adaptable methods for capturing spatial data.
  • Reliable Mapping Service: Enables the creation of dependable city-scale AR maps.
  • Visual Positioning Service: Delivers stable, accurate, and fast localization within mapped environments.
  • AR Experience Creation (EasyAR Sense): SDK for developing AR applications.
  • Spatial Mapping: Supports both sparse and dense spatial maps for AR interactions.
  • Persistence Feature: Allows AR content to persist in specific locations.
  • Multiplayer Mode: Enables shared AR experiences.
  • Cloud Recognition Service (EasyAR CRS): Cloud-based image recognition with large database capacity (100K images).
  • AR Ecosystem Integration: Compatible with platforms like Unity.

Use Cases

  • Developing city-scale augmented reality applications
  • Creating AR experiences for cultural heritage sites and tourism
  • Enhancing shopping malls and commercial districts with interactive AR
  • Building educational AR tools for immersive learning
  • Implementing AR solutions for industrial visualization and training
  • Developing multiplayer AR games and collaborative applications
  • Utilizing cloud-based image recognition for AR markers and triggers

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