Zenitum is introducing their zMART SDK for mobile augmented reality applications. The SDK uses Zenitum's zFT technology for precise vision-based tracking on both pre-defined and instantly generated targets. It supports rendering 2D, 3D, video and audio content onto tracked images and allows creation of augmented reality experiences across iOS and Android platforms. Zenitum aims to help grow the mobile AR market by providing developer tools and solutions to core technology and service firms.

1. Introduction to Vision based AR of Zenitum AlbertHeekwan Kim Founder & CEO mail : albertk@zenitum.com twitter : @hkalbert

2. 2 Contents Market Technologies Zenitum- zMART SDK

3. 3 Market Mobile AR is popular, thanks to Smartphones Super popular in countries like Japan, Korea and US

4. 4 Market The Future of Mobile AR will be BIG! say Research Firms around world Clearly, $350 million in 2014 $732 million in 2014 $2.2 billion in 2015 according to ABI Research (Oct. 22, 2009) according to Juniper Research (Nov. 24, 2009) The Gazillion Dollar Pie! according to ARC Chart (Nov. 8, 2010)

5. 5 Market Few Huddles to Overcome for increasing the market even bigger From “ARC Chart” Before full augmented reality can be achieved, several technical hurdles must be overcome. 1. The availability of standardized visual content will be a significant hurdle in providing robust AR experiences 2. Computer vision based object recognition and the accurate anchoring of content, must support real time processing - Peter Crocker, lead analyst of ARC Chart Zenitum specializes Sharable Standard AR Contents Highly precise Vision based Tracking Highly precise Vision based Tracking

6. 6 Technology AR Technology Spectrum focus on mobile platforms Pre-define NFT Instant NFT Space & Depth Square Markers time Vision AR (Includes real-time tracking) GPS AR Visual Search (not AR) Service oriented Core technology oriented

8. Biased on proprietary HW products

9. More contract works than solutions

10. Provide proprietary AR technologies

11. License new solutions from Zenitum

12. Creating initial buzz is possible

13. Can’t provide actual solutions

14. Difficult to apply business models

15. Develop AR Apps based SDK

16. CreateAR content with AR Platforms

17. Create new AR paradigm

18. Own solutions to address the needs

19. Deploying multiple business modelsfor multiple industry domains

20. SDK to 3rd party developers

22. 9 Zenitum - zMART Zenitum Mobile AR Tool Mobile AR Software Developer Kit Android OS 2.1/2.2 iOS 3.1+/4.x zMART Applications Contents Generation & Interaction Libraries (Custom Logic Support) Real-time AR Object Loader & Renderer (2D/3D/Video/Audio/Animated/Text) zMART Low-Level API zVAR SDK for iOS (zFT) zVAR Pro SDK for Android (zFT2) zVAR SDK for Android (zFT) zVAR Pro SDK for iOS (zFT2) zNET for AR (Remote Data Accessing API) zGAR (Location-Based App. Logic) Platform-Independent AR Core Libraries (zFT / zFT2) Platform-Dependent I/O Libraries

23. 10 Zenitum - zMART Overview - Support rich AR experience using “zFT” core library based SDK - Platform-independent Natural-Feature Detecting & Tracking library - Platform-dependent input/output library for Core AR module - Dynamic 2D/3D contents loading & rendering with custom AR scene - Multiple platform supports (iOS, Android, WM, Symbian) - Compatible / Consistent features across platforms (including PCs) - APIs & Application Templates for developers

25. Pre-define target images ONLY

26. Up to 20 f/s tracking

27. Supports PC, Mac, iOS4, Android, WM, Symbian

28. Min. requirement: ARM 11 core with 500MhzUp to 20 f/s of AR tracking on pre-defined targets Less than inch level of precise tracking available! zFT–1 AR Tracking Engine

29. 12 Zenitum - zMART zVAR – zFT1 Pre-defined image target tracking - Texture/Image based Natural-Feature Detecting & Tracking : zFT Library + Natural marker generator (Off-line) - Support Video overlay or See-Through AR Object : OpenGL-ES + SceneGraph based renderer - Robust multiple tracking with pose estimation : Concurrent tracking with more than 5 targets - Robust tracking against rotation/moving/zooming/multi-resolution of natural target - Customizable contents definition for advanced scene rendering and interaction using XML and Lua script engine - Native AR Object format from conversion of various general 3D content format : 3DS, OBJ, MD2 - Various audio format support for rich content interaction : MP3, WAV, OGG - Platform : iPhone 3GS/4G (iOS 4.x), Android (OS 2.1/2.2) - Fast target detecting time : less than 0.5 seconds (depends on natural features of target) - Maximum distance between device and target to detecting : 80 ~ 90 cm - Robust detecting against occlusion : more than 60% of target - Natural marker generation : multi-resolution of source image (at least 320x240 pixels), 10~20 minutes - Application development : Combination of zFT core library and application templates (for iOS and Android)

31. Precise natural feature tracking engine

32. Up to 20 f/s tracking

33. Supports PC, Mac, iOS4, Android, WM, Symbian

34. Min. requirement: ARM 11 core with 700MhzNo pre-defined targets needed. Just take photos Instant AR contents tagging and sharing is possible! zFT–2 AR Tracking Engine 13

35. 14 Zenitum - zMART zVAR – zFT2 Instant target information generation - Texture/Image based Natural-Feature Detecting & Tracking : zFT2 Library + Real-time natural marker generator - Integrated with powerful high level API for 2D/3D visualization engine - Support Video overlay or See-Through AR Object : OpenGL-ES + modular 2D/3D renderer - Robust multiple tracking with pose estimation : Concurrent tracking with more than 5 targets - Robust tracking against rotation/moving/zooming/multi-resolution of natural target - Advanced contents definition for AR scene rendering and interaction using XML - Support general 3D content formats for AR Object : .X, 3DS, OBJ, MD2 from general tool (e.g 3DS Max) - Animated 3D for AR Object using skinned-mesh type : .X format with advanced content engine - Various audio format support for rich content interaction : MP3, WAV, OGG - Platform : iPhone 3GS/4G (iOS 4.x), Android (OS 2.1/2.2) - Fast target detecting time : less than 0.5 seconds (depends on natural features of target) - Maximum distance between device and target to detecting : 80 ~ 90 cm - Robust detecting against occlusion : more than 60% of target - Natural marker generation : multi-resolution of source image (at least 320x240 pixels), instant generating & registration from device’s camera input

36. 15 Zenitum - zMART zMART Contents Supported content types

37. 16 Zenitum - zMART class CZFTENGINE { void InitEngine(const unsigned int n=1); void GetProjectionMatrix(float pMatrix[16]); boolLoadMarker(const std::string &pFilename); boolFindMarker(const void* pSrcImage,floatfCameraMatrix[16]); void Render(); void Destroy(); … }; Initialize Engine Get Camera Projection Matrix Load Marker Find Marker Rendering Object

39. Marker

41. 3D

42. Video, Audio. etcMarker Detecting & Tracking Yes No End

43. 18 Zenitum - zMART Supported Game Engines Future support

45. Open Release (Jan. 2011 ~) - zFT-1

47. D-Track (Space & Depth Tracker) - http://www.youtube.com/watch?v=ibWnY9ZXKzk - http://www.youtube.com/watch?v=7jUaxlS52tU

48. 2D Video AR Advertisement on ARAD- http://www.youtube.com/watch?v=O4QZv_RVtsc (on Newspapers) - http://www.youtube.com/watch?v=gMmCo2cX5lM (on Street Billboards) - http://www.youtube.com/watch?v=GfxcG-l8F64 (on Beer Cans) - http://www.youtube.com/watch?v=rf8-rP56wwg (on Streets and combination with GPS AR)