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Windows Hello
Intel® RealSense™
• Common guidelines
• Use a minimum password length of 12 to 14 characters if permitted.
• Include lowercase and uppercase alphabetic characters, numbers and symbols if permitted.
• Generate passwords randomly where feasible.
• Avoid using the same password twice (e.g., across multiple user accounts and/or software systems).
• Avoid character repetition, keyboard patterns, dictionary words, letter or number sequences,
usernames, relative or pet names, romantic links (current or past) and biographical information (e.g.,
ID numbers, ancestors' names or dates).
• Avoid using information that is or might become publicly associated with the user or the account.
• Avoid using information that the user's colleagues and/or acquaintances might know to be
associated with the user.
• Do not use passwords which consist wholly of any simple combination of the aforementioned weak
components.
• …..
• …..
• New private/public key or certificate-based authentication approach for organizations
and consumers.
• In Windows 10, replaces passwords with strong two-factor authentication that consists
of an enrolled device and a Windows Hello (biometric) or PIN.
• Lets users authenticate to a Microsoft account, an Active Directory account, a Microsoft
Azure Active Directory (AD) account, or non-Microsoft service that supports Fast ID
Online (FIDO) authentication.
• The user provides the gesture to verify identity; Windows then uses Microsoft Passport
to authenticate users and help them to access protected resources and services.
• Native API support for strong authentication via Universal Windows Platform
(Windows Biometric Framework)
• JavaScript API support for browsers coming later this year.
• Fingerprint
• All current fingerprint capable devices are supported
• Face
• All current (F200) and future Intel® RealSense™ are supported for Windows Hello face
authentication
• All devices that include an IR sensor that meets Microsoft sensor spec
• Iris
• A selection of devices will be arriving to market within the next 12 months
• More details on sensor requirements and support coming soon
Intel Information Technology
Intel® RealSense™ 3D
Camera (Front F200)
Intel® RealSense™
Snapshot
Intel® RealSense™ 3D
Camera (Rear R200)
Spec Color Depth (IR)
Resolution 1080p VGA
Aspect Ratio 16:9 4:3
Frame Rate 30/60/120 FPS
FOV (D X V X H)
77º x 43º x
70º
90º x 59º x
73º
Other
Effective Range 0.2 – 1.2 m
Environment Indoor/Outdoor
Required Hardware • A dedicated USB 3 port in the client system (for peripheral dev kit camera), do not use
a hub
• 4th generation (or later) Intel® Core™ i5 or i7 processor with Intel® Iris™ Graphics and
Intel® HD Graphics
• 8GB free hard disk space
• Intel® RealSense™ 3D Camera (front-facing, F200 – integrated or peripheral)
Required OS • Microsoft Windows* 8.1 64-bit Desktop Mode, 10
• Microsoft Windows 8.1 New UI (Metro) Mode (coming soon)**
• Support for Android* coming soon**
Supported
Programming
Languages
• C++
• C# (Microsoft .Net* 4.0 Framework is required)
• Java* (JDK 1.7.0_11 or later)
• JavaScript*
Supported IDE • Microsoft* Visual Studio 2010-2013 with service pack 1 or newer
• Unity* PRO 4. 1. 0 or later for Unity game development
Supported
Development Tools
• Microsoft* .NET 4.0 Framework for C# development
• Processing* 2.1.2 or higher for Processing framework development
• Java* JDK 1.7.0_11 or higher for Java development
Supported Browsers
for JavaScript
Development
• Microsoft Internet Explorer* 10.0.13
• Google Chrome* 33.0.1750.146
• Mozilla Firefox* 27.0.1
• Free tools and APIs to develop
apps with NUI in a simple way
• Focus where is important: the
content
• Acessible for beginners and
extensible for experts
16
Categories of
Input
Capabilities Features
Hands • Hand and Finger Tracking
• Gesture Recognition
• 22-point Hand and Finger Tracking
• 9 static and dynamic mid-air gestures
Face • Face Detection and
Tracking
• Multiple Face Detection and tracking
• 78-point Landmark Detection (facial features)
• Emotion Recognition (7 emotions, coming post-Beta)
• Pulse Estimation
• Face Recognition (Coming post-beta)
Speech • Speech Recognition • Command and Control
• Dictation
• Text to Speech
Environment • Segmentation
• 3D Scanning
• Augmented Reality
• Background Removal
• 3D Object / Face / Room Scanning (Coming post-beta)
• 2D/3D Object Tracking
• Scene Perception (coming post-beta)
• 22 Joints
• Detects Body Side
• Tracks X, Y and Z
positions from detected
hands
• Tracking ( 4 faces)
• Landmarks Tracking (1 Face)
• X, Y, Width and Height
• Average Depth
78 landmark points:
• Nose
• Mouth
• Jaw
• Eyes
• Eyebrows
• ....
Switch
Weapon!
Your Score is:
Five Hundred
and Sixty Five!
2D 3D
Core (C++)
API (C++)
High Level Language Wrappers
Applications
Core (C++)
API (C++)
Wrappers
Windows Hello
What is Windows Hello
http://windows.microsoft.com/it-it/windows-10/getstarted-what-is-hello
Microsoft Passport and Windows Hello: Moving Beyond Passwords and Credential Theft
https://channel9.msdn.com/Events/Build/2015/2-639
Intel® RealSense™
Intel RealSense Technology
http://bit.ly/realsenseoverview
Intel Developer Zone
https://software.intel.com/it-it
Windows Hello e Intel(r) RealSense(tm): attenti a questi due!!

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Windows Hello e Intel(r) RealSense(tm): attenti a questi due!!

  • 1.
  • 3.
  • 4. • Common guidelines • Use a minimum password length of 12 to 14 characters if permitted. • Include lowercase and uppercase alphabetic characters, numbers and symbols if permitted. • Generate passwords randomly where feasible. • Avoid using the same password twice (e.g., across multiple user accounts and/or software systems). • Avoid character repetition, keyboard patterns, dictionary words, letter or number sequences, usernames, relative or pet names, romantic links (current or past) and biographical information (e.g., ID numbers, ancestors' names or dates). • Avoid using information that is or might become publicly associated with the user or the account. • Avoid using information that the user's colleagues and/or acquaintances might know to be associated with the user. • Do not use passwords which consist wholly of any simple combination of the aforementioned weak components. • ….. • …..
  • 5.
  • 6. • New private/public key or certificate-based authentication approach for organizations and consumers. • In Windows 10, replaces passwords with strong two-factor authentication that consists of an enrolled device and a Windows Hello (biometric) or PIN. • Lets users authenticate to a Microsoft account, an Active Directory account, a Microsoft Azure Active Directory (AD) account, or non-Microsoft service that supports Fast ID Online (FIDO) authentication. • The user provides the gesture to verify identity; Windows then uses Microsoft Passport to authenticate users and help them to access protected resources and services. • Native API support for strong authentication via Universal Windows Platform (Windows Biometric Framework) • JavaScript API support for browsers coming later this year.
  • 7. • Fingerprint • All current fingerprint capable devices are supported • Face • All current (F200) and future Intel® RealSense™ are supported for Windows Hello face authentication • All devices that include an IR sensor that meets Microsoft sensor spec • Iris • A selection of devices will be arriving to market within the next 12 months • More details on sensor requirements and support coming soon
  • 8.
  • 9.
  • 10.
  • 12. Intel® RealSense™ 3D Camera (Front F200) Intel® RealSense™ Snapshot Intel® RealSense™ 3D Camera (Rear R200)
  • 13. Spec Color Depth (IR) Resolution 1080p VGA Aspect Ratio 16:9 4:3 Frame Rate 30/60/120 FPS FOV (D X V X H) 77º x 43º x 70º 90º x 59º x 73º Other Effective Range 0.2 – 1.2 m Environment Indoor/Outdoor
  • 14. Required Hardware • A dedicated USB 3 port in the client system (for peripheral dev kit camera), do not use a hub • 4th generation (or later) Intel® Core™ i5 or i7 processor with Intel® Iris™ Graphics and Intel® HD Graphics • 8GB free hard disk space • Intel® RealSense™ 3D Camera (front-facing, F200 – integrated or peripheral) Required OS • Microsoft Windows* 8.1 64-bit Desktop Mode, 10 • Microsoft Windows 8.1 New UI (Metro) Mode (coming soon)** • Support for Android* coming soon** Supported Programming Languages • C++ • C# (Microsoft .Net* 4.0 Framework is required) • Java* (JDK 1.7.0_11 or later) • JavaScript* Supported IDE • Microsoft* Visual Studio 2010-2013 with service pack 1 or newer • Unity* PRO 4. 1. 0 or later for Unity game development Supported Development Tools • Microsoft* .NET 4.0 Framework for C# development • Processing* 2.1.2 or higher for Processing framework development • Java* JDK 1.7.0_11 or higher for Java development Supported Browsers for JavaScript Development • Microsoft Internet Explorer* 10.0.13 • Google Chrome* 33.0.1750.146 • Mozilla Firefox* 27.0.1
  • 15. • Free tools and APIs to develop apps with NUI in a simple way • Focus where is important: the content • Acessible for beginners and extensible for experts
  • 16. 16 Categories of Input Capabilities Features Hands • Hand and Finger Tracking • Gesture Recognition • 22-point Hand and Finger Tracking • 9 static and dynamic mid-air gestures Face • Face Detection and Tracking • Multiple Face Detection and tracking • 78-point Landmark Detection (facial features) • Emotion Recognition (7 emotions, coming post-Beta) • Pulse Estimation • Face Recognition (Coming post-beta) Speech • Speech Recognition • Command and Control • Dictation • Text to Speech Environment • Segmentation • 3D Scanning • Augmented Reality • Background Removal • 3D Object / Face / Room Scanning (Coming post-beta) • 2D/3D Object Tracking • Scene Perception (coming post-beta)
  • 17. • 22 Joints • Detects Body Side • Tracks X, Y and Z positions from detected hands
  • 18.
  • 19. • Tracking ( 4 faces) • Landmarks Tracking (1 Face) • X, Y, Width and Height • Average Depth
  • 20. 78 landmark points: • Nose • Mouth • Jaw • Eyes • Eyebrows • ....
  • 21.
  • 22.
  • 23.
  • 24. Switch Weapon! Your Score is: Five Hundred and Sixty Five!
  • 25.
  • 26. 2D 3D
  • 27. Core (C++) API (C++) High Level Language Wrappers Applications
  • 31.
  • 32.
  • 33. Windows Hello What is Windows Hello http://windows.microsoft.com/it-it/windows-10/getstarted-what-is-hello Microsoft Passport and Windows Hello: Moving Beyond Passwords and Credential Theft https://channel9.msdn.com/Events/Build/2015/2-639 Intel® RealSense™ Intel RealSense Technology http://bit.ly/realsenseoverview Intel Developer Zone https://software.intel.com/it-it

Editor's Notes

  1. Explorar o público (colocar essas perguntas na pesquisa final) Quem conhece RealSense? Quem desenvolve utilizando o RealSense SDK versão 2014? Quem desenvolve outros SDKs que trabalham com este tipo de tecnologia? (Leap Motion, Kinect, etc)
  2. Onde está o RealSense? Até o ano passado estivemos trabalhando com o ecosistema para distibuir kits de desenvolvimento e garantir que desenvolvedores como vocês começassem a criar usos bacanas para essa tecnologia. E agora estamos trabalhando para espalhar o RealSense por vários devices junto com vários parceiros do ecosistema para que os primeiros devices cheguem ao mercado entre 2014 e 2015. Inclusive alguns já foram anunciados na CES: mostram alguns deles.
  3. Basicamente trabalhamos com duas partes: A Intel RealSense 3D Camera Intel RealSense SDK Mas além disso estamos trabalhando em duas câmeras adicionais para ampliar os modelos de uso e possibilidade de integração, e teremos: R200 Snapshot: camera mais simples com foco em telefones e tablets e uso mais casual. Trabalha com pós processamento das imagens depois da captura. Sim é a camera que esta no tablet da Dell. R200: a F200 é uma camera com objetivo de capturar interações com o usuário (Front or User Facing). Já a R200 é conhecida como World Facing camera e tem a proposta de capturar informações sobre o ambiente onde o device esta inserido. F200: Interações naturais, imersivas, colaboração, jogos, aprendizagem e scaneamento 3D Snapshot: Medições de distância, foco e cor, filtros de movimento R200: Realidade Aumentada, criação de conteúdo, scaneamento de objetos
  4. Color Camera Resolution: 1080p@30FPS (FHD) Active Pixels: 1920x1080 (2M) Aspect Ratio: 16:9 Frame Rate: 30/60/120 FPS Field of View: 77º x 43º x 70º (Cone) (D x V x H) Color Formats: YUV4:2:2 (Skype/Lync Modes**) Depth (IR) Camera Resolution: 640x480@60FPS (VGA), HVGA@120FPS 640x480@120FPS (IR) Active Pixels: 640x480(VGA) Aspect Ratio: 4:3 Frame Rate: 30/60/120 FPS (Depth) 120FPS (IR) Field of View: 90º x 59º x 73º (Cone) IR Projector FOV: N/A x 56º x 72º (Pyramid) Color Formats: N/A
  5. Updated re: Gold release
  6. APIs e ferramentas para implementação de NUI Acessível para iniciantes e extensível para experts Foco do app aonde mais importa: conteúdo
  7. Arrumar fundo azul da imagem ** Reference Links: https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_programming_guide_gesture.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_programming_guide_gesture.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_general_procedure_2.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_hand_calibration_data.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_alternative_hand_tracking_solu.html Em Rastreamento e Pontos, podemos colher os dados de cada um dos 22 pontos, sabendo também qual o lado do corpo (esquerda ou direira) pertencem.
  8. Reference Links: https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_pose_and_gesture_recognition.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_gesture_interaction_guide.html ** ERRO NAS IMAGENS ** TAP GESTURE Aqui observamos os gestos que compõem a RealSense SDK: SpreadFingers ou Big5, gesto estático, o mais simples identificando uma mão aberta; V-Sign, ou mais conhecido V de vitória. Também estático; Tap, representa um gesto dinâmico de pressionar; Wave, gesto dinâmico que representa para nós um “tchau”;
  9. TENTAR ARRUMAR FUNDO AZUL* https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_general_procedure_face.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_general_procedure_face.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_face_location_data.html Ilustração da detecção de rostos. No máximo 4 rostos podem ser detectados ao mesmo tempo. Apenas 1 desses 4 podem ter todos os pontos do rosto rastreados (landmarks). Mostrar Implementação
  10. TENTAR ARRUMAR FUNDO AZUL** https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_face_landmark_data.html Ao todo podem ser detectados 78 pontos no rosto, dividindo-se nos seguintes grupos: Nariz; Boca; Mandíbula; Olho (esquerdo e direito); Sombrancelha (esquerda e direita). Mostrar Implementação
  11. Tentar arrumar fundo azul **** https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_face_pose_data.html Ilustração dos ângulos X,Y,Z da cabeça: Pitch (y), para cima e para baixo; Yaw (x), olhar para esquerda ou direita; Roll (z), movimentar cabeça para esquerda ou para direita, mantendo X e Y. ** melhorar descrição... Mostrar Implementação
  12. https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_facial_expression_data.html Expressões Faciais; Em uma forma geral conseguimos captar, através do módulo Face, 8 expressões faciais (com a intensidade aplicada): Sorriso; Boca aberta; Beijo (?), Duck face :^ Olho fechado (esquerdo e direito); Movimento das pupilas (esquerda,direita, cima, baixo) de cada olho; Sombrancelha levantada (esquerda e direita); Sombrancelha abaixada (?) (esquerda e direita); Mostrar implementação...
  13. https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_emotion_detection_via_senseman.html Apesar de ainda experimental, implementamos um sample utilizando o módulo de emoções. OBS: ele fica separado do módulo Face. Baseando nas expressões detectadas, o algoritmo tenta prever as emoçõs do usuário, apresentando a intensidade de cada uma. 6 emoções podem ser detectadas: Irritado (ou Raiva); Descontente; Com medo; Alegre; Triste; Surpreso. Mostrar implementação...
  14. Reference links: https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_speech_recognition_procedure.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_command_control_and_dictation.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_handle_recognition_events.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_about_audio_recording_level.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_about_confidence_level.html Neste modo, dizemos quais os comandos podem ser pronunciados, fazendo então um filtro para o algoritmo de detecção. Um exemplo de uso seria o comando “play” para tocar uma música na sua aplicação.
  15. https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_user_segmentation.html O módulo de segmentação encarrega-se de gerar as imagens removendo boa parte do background. Feita a remoção, podemos adicionar o fundo que queremos via código.
  16. Reference Links: https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_object_tracking.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_object_tracking_via_sense_manager.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_configuration_and_tracking_dat.html https://software.intel.com/sites/landingpage/realsense/camera-sdk/2014gold/documentation/html/manuals_the_metaio_toolbox.html Temos dois modos de rastreamento de objetos: 2d e 3d Iremos mostrar uma implementação do Object Tracking 2d. Passamos uma imagem/foto do objeto (no caso uma tag), carregamos nas configurações do módulo e o mesmo se encarrega de rastrear. Devemos lembrar que, para o reconhecimento de objetos (3d ou 2d), devemos antes de tudo calibrar a câmera (podemos mostrar como fazer isso, mas depende do tempo que tivermos);