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Wie IoT Devices schlauer werden
ThomasTomow
 Azure MVP since 2017
 Working at
 Focusing on IoT, Cloud, Intelligent
Application, …
 Love community [#communityrocks]
 Owner of Azure Meetup Konstanz &
Region
 Doing Sports
 Karate (4. DAN)
 Photography
Wer ist Hannes und was ist sein Problem?
 Bild von Hannes
Hannes‘ ersterAnlauf
Baukastenlösung – à la ISpy
+
Hannes‘ Stand der Dinge
Hannes bekommt einenTipp
Cognitive Services
Decision
Vision
Language
Speech Web
Search
Personalizer
Content Moderator
Anomaly Detector
Ink Recognizer
Computer
Vision
Face
CustomVisionForm Recognizer
Video Indexer
Conversation
transcription capability
Custom Speech
Text-to-Speech
NeuralText-to-Speech
Speech transcription
Text Analytics
TranslatorText
Bing Spell Check
Language Understanding
Content
Moderator
Q&A Maker
BingVideo Search
Bing Entity Search
Bing Local
Business Search
BingAutosuggestBing Image Search
Bing News Search
BingCustom Search
BingWeb Search
BingVisual Search
Speech-to-Text
Speaker Recognition
Vision im Fokus von Hannes
ComputerVision
 Vortrainierte Modelle
 Szenenanalyse,Objekte,…
 Output:
 Beschreibung der Szene
 Tags
 Wahrscheinlichkeiten
 Kategorien
Vision im Fokus von Hannes
CustomVision
 Vortrainierte Modelle
 Erweiterbar mit eigenen
Inhalten
 Output:
 Klassifikationstags
 Bounding Boxes
 Wahrscheinlichkeiten
Hannes erweitert seine Baukastenlösung
+
Demo
Hannes muss umdisponieren
Containerized Cognitive Services
CustomVision
https://www.customvision.ai/
CustomVision Portal1. Bilder hochladen
CustomVision
https://www.customvision.ai/
2. Objekte markieren
&Tagnamen vergeben
CustomVision
https://www.customvision.ai/
3.Training &
Evaluation starten
CustomVision
https://www.customvision.ai/
4. Export als DockerContainer
Was ist IoT Hub?
Was ist IoT Edge?
Eigenschaften
• Offline oder sporadisch Online
• Vollständig modular
• Interne Nachrichtenbasierte
Kommunikation
Container Deployment
• Azure Services On Edge möglich
• Jede „containerizable“App offline
• IoT Hub Device Management &
Device Provisioning Service
Hannes‘ Lösung
REST call
WeiteresWerkzeug für Hannes
VisionAI DevKitCamera NVIDIA Jetson Nano Intel Movidius
NeuralCompute Stick
Aussichten
Möglichkeiten
Azure Machine Learning Services
 Juniper Notebooks
 Python 2+3, R, F#
 AutoML
 AI-DevOps Infrastruktur
.Net Development
 ML.NET (z.B. C#)
 MachineLearning Packages
 UWP - NameSpace
 NuGet
 AzureML (CLI)
ML.NET
Cognitive Services
Vision
• Bildtagging,Thumbnails
• OCR,
Handschriftenerkennung
• Erkennen von gemalten
Bildern
• Gesichtserkennung
• Emotionserkennung
• Video Insights
• Bilder undVideo
Moderation
Speech
• S2T,T2S (Transkription)
• Lautstärke, Rauschen
Transkription
• Authentifikation
• Realzeit-Übersetzung
Language
• Kontextanalyse
• Absichten Erkennung
• SentimentAnalyse,
Schlüsselworte
• Übersetzungen
• Text Moderation
• Rechtschreibprüfung
Knowledge
• Bot undQ&A Services
• Verstärktes Lernen von
personalisiertem Inhalt
Search
• Autom.Suchvorschläge
• Umfassende Ergebnisse
von News,Video und
Bilder
• Informationsgewinnung
• Angepasste/Zugeschnitt
ene Suche
Empfehlungen & Inhaltsangaben
• https://azure.microsoft.com/de-de/services/iot-hub/
• https://azure.microsoft.com/de-de/services/iot-edge/
• https://channel9.msdn.com/Shows/Internet-of-Things-Show/Custom-Vison-on-IoT-Edge
• https://github.com/buildaidemos/demos
• https://azure.microsoft.com/en-us/blog/a-deep-dive-into-what-s-new-with-azure-cognitive-
services/?cdn=disable
Bilder von www.pixabay.com & meine eigenen
Merci
Email: toto_san@live.com
Blog: www.tomow.de
Twitter: @toto_san1
Github: toto_san

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