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Thrive conference - Customer scenarios cloud lunch bell


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the cloud lunch bell based on Azure cognitive services as a short customer scenario.

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Thrive conference - Customer scenarios cloud lunch bell

  1. 1. The Cloud Lunchbell #THRIVEITCONF lunch
  2. 2. Thomas Gölles Microsoft MVP (O365) @thomyg Head of Modern Workplace Solutions Graz, Austria Stephan Bisser Microsoft MVP (AI) @cloudguy_pro #AskCloudguy Graz, Austria
  3. 3.
  4. 4. Background
  5. 5. Our Office in Graz, Austria
  6. 6. This was Thomy‘s view before he switched rooms
  7. 7. Lunchtime at our office (around 10:45)
  8. 8. Delicious snacks
  9. 9. This is Thomy‘s view after he switched rooms (now)
  10. 10. How can Thomy solve that problem?
  11. 11. Possible solutions • Create a recurrent event in Outlook • “Ping” a colleague everyday • Stand up and have a look • Use technology to solve the problem
  12. 12. As a geek you have to do something awesome
  13. 13. MOCADESYMO was born • Penny: Well, you know, it’s the Cheesecake Factory. People order cheesecake, and I bring it to them. • Leonard: So, you sort of act as a Carbohydrate Delivery System. • Penny: Yeah, call it whatever you want, I get minimum wage. Mobile Monitor
  14. 14. MOCA Who?
  15. 15. Hi, I‘m MOCADESYMO – your 21st century lunchbell
  16. 16. MOCADESYMO‘s view
  17. 17. Architecture Design
  18. 18. 1. Raspberry PI camera takes photo of food truck, after it has arrived 2. Raspberry PI uploads the taken image into an Azure Blob Storage 3. Raspberry PI triggers an Azure Function after the image has been uploaded successfully 4. Azure Function calls the Custom Vision API in order to check wether the food truck is present or not 5. If Custom Vision API responds with a high probability that the truck has arrived, the Azure Function sends a notification to Teams 6. Users can ask the Lunchbell Bot in Teams wether the food truck has arrived or not or if it is still present 7. Azure Bot Service checks the entries in an Azure Table Storage where the arrival and departure time is stored
  19. 19. Raspberry Pi + camera module
  20. 20. Parts
  21. 21. PI Shell script
  22. 22. Azure components Blob Storage Azure Function Custom Vision API Storage Tables
  23. 23. Custom Vision Service Normal State98,53 % True100 % True99,9 % True
  24. 24. SharePoint Online
  25. 25. Demo
  26. 26. Demo Case
  27. 27. #ThriveITConf THANK YOU! Code, slides and other resources available at: