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OFFICE 365, AZURE AND A
RASPBERRY PI: A 21ST CENTURY
LUNCH BELL
NACS 2018, Branson, MO – Thomas Gölles
THOMAS GÖLLES
Head of Modern Workplace Solutions
Co-Organizer of SharePoint Saturday Vienna (#SPSVIE),
Office 365 Meetup Graz, Office 365 Meetup Vienna
http://www.modernworkplacesolutions.rocks/
@thomyg
MAKE SURE TO THANK OUR SPONSORS!
WEAR YOUR NACS WRISTBAND FOR
LUNCH SPECIALS ON BRANSON LANDING
PLAY VENDOR BINGO FOR YOUR
CHANCE TO WIN A i7 16GB 1TB SURFACE
BOOK
TODAY‘S AGENDA
1 Little bit of background 2 “Bussiness Problem”
3 Tech geek out 4 DEMO
OUR OFFICE IN GRAZ, AUSTRIA
THE VIEW I USED TO HAVE …
EVERYDAY AT AROUND 10:45 …
SANDWICH TIME
BUT I GOT A NEW OFFICE AND A NEW VIEW…
POSSIBLE SOLUTIONS
Create a recurrent event in Outlook
“Ping” a colleague everyday
Stand up and have a look
Use technology to solve the problem
MOCADESYMO
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
FRONT DOOR VIEW
MOCADESYMO
ARCHITECTURE
MAKE SURE TO
ATTEND THE
ATTENDEE PARTY
FRIDAY NIGHT AT
7:30PM AT BLACK
OAK GRILL FOR
GREATE LIVE
MUSIC
GET YOUR FREE
DRINK TICKETS AT
THE END OF THE
DAY SESSION ON
FRIDAY
CHATBOTS
Chatbots 101
“a computer program designed to have a
conversation with a human being, especially over the
internet” *
* https://dictionary.cambridge.org/dictionary/english/chatbot
“HOW DO YOU PERCEIVE COMPANIES THAT OFFER A CHATBOT?”
https://insights.ubisend.com/2017-chatbot-report
Microsoft Bot Framework
COGNITIVE SERVICES
Yes
Similar
image
Query
image
 Researchers took a traditional machine learning approach
• Example: HoG Detectors
- Histogram of oriented
gradients (HoG) features
- Sliding window detector
- SVM Classifier
- Very fast OpenCV
implementation (<100ms)
Deep Neural Network for Computer Vision
cat? YES
dog? NO
car? NO
Convolutional Layers
Fully
Connected
Layers
Complex Objects
& Scenes
(people, animals,
cars, beach
scene, etc.)
Image
Low-Level Features
(lines, edges,
color fields, etc.)
High-Level Features
(corners, contours,
simple shapes)
Object Parts
(wheels, faces,
windows, etc.)
TECH GEEK OUT
AZURE / RASPBERRY PI
RASPBERRY PI + CAMERA MODULE
PARTS
PI SETUP & TOOLS
Runs Raspbian Jessie
Lan/Wlan connection
raspistill for taking
images
mogrify for cropping
the image
Azure CLI 2.0
curl
AZURE COMPONENTS
Blob
Storage
Azure
Function
Custom
Vision API
Storage
Tables
BLOB STORAGE
AZURE FUNCTION
• Min. Visual Studio 2017
Update 2
• Usage of custom library
• Including PnP library
• Gets triggered by the
curl request from the Pi
• Takes the image from
the blob storage
AZURE FUNCTION
• Calls Custom Vision API
• Gets back the prediction
result from http request
• Stores data to log and
state tables
• Informs users in Teams
by calling a connector if
prediction is above a
certain threshold
• uploads pictures to a
SharePoint Portal
CUSTOM VISION API
• Project with sample data
• Start with at least 30
images
• Train the models
• Use live data to learn in
iterations
• Be prepared to
understand prediction
results
• Getting above 95% with
~450 images now
NORMAL STATE
98,53% TRUE
100% TRUE
99,9% TRUE
Log table with every call
and result from the
Custom Vision API
State Table with
timestamps at arriving and
leaving for easier
integration of other
systems in the future
(Cortana, Alexa, bot
framework)
STORAGE TABLES
TEAMS CONNECTOR
LOG OUTPUT
• Basic incoming
webhook connector in
Teams
• Easy to test with
Powershell request :
Invoke-WebRequest -Uri
http://localhost:7071/api
/FoodTruckMonitorFunc
?image=https://snackcar
monitor.blob.core.windo
ws.net/snackcarimages/
2017-07-26-10-49-
01.png
SHAREPOINT PORTAL
PICTURE LIBRARY AS A KIND OF ALBUM
DEMO TIME
DEMO CASE
Blob
Storage
1 2
3
4
5
PRIZE DRAWINGS HAPPEN AFTER THE END OF THE DAY SESSIONS ON FRIDAY AND
SATURDAY. YOU MUST ATTEND THE END OF THE DAY SESSION TO WIN.

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Nacs 2018 Office 365, Azure and a Raspberry Pi - a 21st century lunch bell

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