EasyAR is an Augmented Reality Engine.

EasyAR Sense provides sensing abilities of the real world, supporting Image Tracking, Object Tracking, Surface Tracking, Motion Tracking and Sparse Spatial Map, Dense Spatial Map.

EasyAR Sense is a standalone SDK, it provides flexible dataflow-oriented component-based API and do not depend on any non-system libraries or tools like Unity3D.

EasyAR CRS is a cloud service for image recognition. You can manage targets online and change those targets on demand. You can recognize those image targets using EasyAR Sense API, and get the target meta data from cloud. EasyAR CRS is a paid service.

EasyAR Sense 4.0 provides you with four subscription modes: Personal Edition (Free), Professional Edition (Monthly Payment), Classic Edition (One-Time Payment) and Enterprise Edition (Customized).

EasyAR Sense 4.6.0 adds some minor features and fixes some issues.

Release Notes

Pricing

Documentation

Getting Started

EasyAR Sense Samples

Samples to run EasyAR Sense on Windows, Android and iOS without a 3D engine.

HelloAR

• Demonstrate how to create the first EasyAR app using Java (Android) / Objective-C (iOS) API
• Demonstrate different methods to create targets

HelloARCRS

• Demonstrate how to use cloud recognition

HelloARCpp

• Demonstrate how to create the first EasyAR app using C++17 API
• Demonstrate different methods to create targets

HelloARCustomCamera

• Demonstrate how to create an EasyAR app with a non-system-API-based camera
• It uses system API as a sample and don't support Android USB camera out-of-the-box. For Android USB camera, libuvc integration is needed.(https://stackoverflow.com/questions/37828376/android-open-external-uvc-camera-instead-hardware-camera/42432233)

HelloARImageTargetData

• Demonstrate how to create a target from ImageTargetData

HelloARKotlin (Android only)

• Demonstrate how to create the first EasyAR app using Kotlin
• Demonstrate different methods to create targets

HelloARMotionTracking (Android only)

• Demonstrate how to use motion tracking

HelloARMultiTarget_MultiTracker

• Demonstrate how to track multiple targets simultaneously using multiple trackers

HelloARMultiTarget_SameImage

• Demonstrate how to track multiple same targets simultaneously

HelloARMultiTarget_SingleTracker

• Demonstrate how to track multiple targets simultaneously using single tracker

HelloARObjectTracking

• Demonstrate how to track 3D objects

HelloARRecording

• Demonstrate how to do recording

HelloARSurfaceTracking

• Demonstrate how to use surface tracking

HelloARSwift (iOS only)

• Demonstrate how to create the first EasyAR app using Swift API
• Demonstrate different methods to create targets

HelloARVideo

• Demonstrate how to load and play video on top of target using EasyAR
• Demonstrate local video playback
• Demonstrate transparent video playback

HelloAR (Windows)

• Demonstrate how to create the first EasyAR app using C++17 API
• Demonstrate different methods to create targets
• This sample is a console app which do not include a GUI for rendering

HelloARCSharp (Windows)

• Demonstrate how to create the first EasyAR app using CSharp API
• Demonstrate different methods to create targets
• This sample is a console app which do not include a GUI for rendering

HelloARQt (Windows)

• Demonstrate how to create the first EasyAR app using C++17 API
• Demonstrate different methods to create targets
• Demonstrate how to use EasyAR with Qt
• This sample use Qt5 for GUI and rendering output

HelloARImageTargetDataGenerator (Windows)

• Demonstrate how to generate ImageTargetData

EasyAR Sense Unity Plugin

EasyAR Sense Unity Plugin exposes EasyAR Sense features into Unity as a plugin. It can work with or without AR Foundation. It can also work on Nreal Eyewears.

EasyAR Sense Unity Plugin 4.6.0 brings many optimizations and improvements.

EasyAR Sense Unity Plugin 4.6.0 use Unity's package to organize itself. It support Unity 2019.4 and later versions. Click here for more details about what has been improved in this version.

The samples are distributed within the plugin package. Detailed description can be found here.

AllSamplesLauncher

• A launcher scene to load all handheld AR samples.

WorldSensing/SpatialMap_SparseSpatialMap

• Demonstrate how to use sparse SpatialMap
• Demonstrate how to create sparse SpatialMap
• Demonstrate how to put virtual objects onto SpatialMap
• Demonstrate how to preview persistence contents
• Demonstrate how to localize multiple maps and show contents on them

WorldSensing/SpatialMap_Sparse_Localizing

• Demonstrate how to use the sparse SpatialMap uploaded into the database (e.g. created from SpatialMap_SparseSpatialMap sample)
• Demonstrate how to localize sparse SpatialMap and put virtual objects onto SpatialMap

WorldSensing/SpatialMap_Sparse_ImageTarget

• Demonstrate how to use sparse SpatialMap and image tracking together

WorldSensing/SpatialMap_Sparse_Building

• Demonstrate how to build sparse SpatialMap

WorldSensing/SpatialMap_Sparse_Dense_Building

• Demonstrate how to build sparse SpatialMap and dense SpatialMap together

WorldSensing/SpatialMap_Dense_BallGame

• Demonstrate how to use dense SpatialMap
• Demonstrate how to render dense SpatialMap mesh
• Demonstrate how to use dense SpatialMap to do collision and occlusion

WorldSensing/MotionTracking_Fusion

• Demonstrate how to use motion tracking features from EasyAR motion tracking, ARCore, ARKit and other frameworks in a similar way
• Demonstrate how to select frame source automatically according to device capability at app startup
• Demonstrate how to switch available frame sources at runtime in a single scene

WorldSensing/MotionTracking

• Demonstrate how to use motion tracking
• Demonstrate how to fallback to ARKit/ARCore when EasyAR motion tracker not available

WorldSensing/MotionTracking_ImageTarget

• Demonstrate how to use motion tracking and image tracking together

WorldSensing/SurfaceTracking

• Demonstrate how to use surface tracking

WorldSensing/SurfaceTracking_ImageTarget

• Demonstrate how to use surface tracking and image tracking together

ObjectSensing/ImageTracking_Targets

• Demonstrate different methods to create targets
• Demonstrate how to dynamically create targets
• Demonstrate how to create a target from ImageTargetData
• Demonstrate how to load and unload targets
• Demonstrate how to use different center mode
• Demonstrate how to use different horizontal flip mode

ObjectSensing/ImageTracking_Video

• Demonstrate how to load video with Unity VideoPlayer and play video on target
• Demonstrate how to load video with Unity VideoPlayer and play transparent video with custom shader
• Demonstrate how to change the video aspect ratio (Unity VideoPlayer feature) to fit image target

ObjectSensing/ImageTracking_MotionFusion

• Demonstrate how to track image more stable using EasyAR motion fusion
• Demonstrate how to extend tracking using EasyAR motion fusion

ObjectSensing/ImageTracking_CloudRecognition

• Demonstrate how to use cloud recognition
• Demonstrate how to create and use offline cache
• Demonstrate how to stop web request when tracking

ObjectSensing/ImageTracking_TargetOnTheFly

• Demonstrate how to create image target directly from real-time camera image and load it into tracker as a target

ObjectSensing/ImageTracking_Coloring3D

• Demonstrate how to create a coloring book and "convert" book image into 3D at real-time

ObjectSensing/MultiTarget_SingleTracker

• Demonstrate how to track multiple targets simultaneously using single tracker

ObjectSensing/MultiTarget_MultiType

• Demonstrate how to track multiple type of targets simultaneously

ObjectSensing/MultiTarget_SameImage

• Demonstrate how to track multiple same targets simultaneously
• Demonstrate how to load image target using custom code

ObjectSensing/MultiTarget_MultiTracker

• Demonstrate how to track multiple targets simultaneously using multiple trackers

ObjectSensing/ObjectTracking

• Demonstrate how to track 3D objects

DeviceSupport/Camera_VideoCamera

• Demonstrate how to open/close camera
• Demonstrate how to switch camera
• Demonstrate how to get camera image texture
• Demonstrate how to control camera display
• Demonstrate how to horizontally flip camera image

DeviceSupport/VideoRecording

• Demonstrate how to record video

DeviceSupport/FrameRecording

• Demonstrate how to record eif file
• Demonstrate how to playback eif file and use it for diagnosing

DeviceSupport/Camera_CustomCamera

• Demonstrate how to create an EasyAR app with a non-system-API-based camera

Eyewear/Eyewear_DeviceHasNoTracking

• Demonstrate eyewear support when device has no VIO capability
• Demonstrate how to use image tracking on eyewears with no VIO capability

AR Foundation Extension/SpatialMap_Building

• Demonstrate how to use EasyAR and Unity AR Foundation together
• Demonstrate how to use EasyAR sparse and dense spatial map building using Unity AR Foundation as VIO backend

AR Foundation Extension/MotionTracking_Fusion

• Demonstrate how to use motion tracking features from EasyAR motion tracking, AR Foundaton, ARCore, ARKit and other frameworks in a similar way
• Demonstrate how to select frame source automatically according to device capability at app startup
• Demonstrate how to switch available frame sources at runtime in a single scene

AR Foundation Extension/ImageTracking_MotionFusion

• Demonstrate how to track image more stable using EasyAR motion fusion
• Demonstrate how to extend tracking using EasyAR motion fusion

Nreal Extension/SpatialMap_Building

• Demonstrate how to use EasyAR on Nreal devices
• Demonstrate how to use EasyAR sparse and dense spatial map building on Nreal devices

Nreal Extension/ImageTracking_InWorld

• Demonstrate how to use EasyAR on Nreal devices
• Demonstrate how to use EasyAR image tracking on Nreal devices to track an image in the real world