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Sydney Azure User Group
From Paper to Power
using Azure Form
Recognizer
Join the Conversation @AzureSydneyUG @jernej_kavka v3
SSW Senior Software Architect
Jernej Kavka (JK)
@Jernej_kavka
github.com/jernejk
jkdev.me
linkedin.com/in/jernejkavka/
.NET Core and EF Core dev at day
Cognitive Services and ML.NET dev at night
Join the Conversation @AzureSydneyUG @jernej_kavka
Join the Conversation @AzureSydneyUG @jernej_kavka
Cognitive Studio – https://cognitivestudio.dev
What do we do now?
Demo
Azure Form Recognizer
Table of
Contents
Current flow of collecting feedback
We present
Ask participants to fill out the feedback form
Admins scans papers and upload to SharePoint
Make a summary of the feedback
Shreds the feedback forms to protect attendees privacy ☺
Later when time permits, enters them into CRM
Manual labour
• ~1 hour - Scanning and quick summary
• ~1-3 hours – Manually entering data for a single
event
Join the Conversation @AzureSydneyUG @jernej_kavka
We have a lot of events!
Join the Conversation @AzureSydneyUG @jernej_kavka
Brisbane Full Stack User Group
Join the Conversation @AzureSydneyUG @jernej_kavka
Melbourne .NET User Group
Sydney .NET User Group
1 – 2 days training in 3 cities
Hack Days
It’s a lot of work
• Up to 100 attendees per event
• Up to 5 cities “road-trip presenting”
• Up to 10 events per month
• Hours stacks up quickly with manual labour
Join the Conversation @AzureSydneyUG @jernej_kavka
We need to scan papers as soon as they come
Or they will stack up really quickly
Join the Conversation @AzureSydneyUG @jernej_kavka
Making forms digital
• Works well on virtual events!
• Doesn’t work on a physical event
• Participants don’t like copying links to their phones
• Most don’t like scanning QR codes
• It can work if you promise rewards (expensive 💸)
Join the Conversation @AzureSydneyUG @jernej_kavka
Works really good but not enough feedback
What do we do now?
Demo
Azure Form Recognizer
Table of
Contents
Azure Form Recognizer
• Allows recognize and tag text in a form
• By default it supports
• US receipts
• Tables
Join the Conversation @AzureSydneyUG @jernej_kavka
Custom Form Recognizer
• Train using your own forms
• Uses various cognitive services behind the scenes
• OCR
• Positioning of the labelled text
• Is done in 2 phases
• Training
• Usage
Join the Conversation @AzureSydneyUG @jernej_kavka
Getting started
• Azure account
• https://azure.microsoft.com/en-us/free/
• PowerShell Core
• https://github.com/powershell/powershell
• Azure CLI
• https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest
• Azure Storage Explorer
• https://azure.microsoft.com/en-au/features/storage-explorer/
Join the Conversation @AzureSydneyUG @jernej_kavka
Quick start
• Download automation script
• https://gist.github.com/jernejk/fdb42e032a9568d42dc8c2f05bd1fc1
3
• Get started in 2 mins rather than 30+ minutes
Join the Conversation @AzureSydneyUG @jernej_kavka
Join the Conversation @AzureSydneyUG @jernej_kavka
Label, train and test data
Logic Apps
MS Flow/Power Automate allows adding upload buttons on your phone
Cognitive Studio – Form Recognizer coming soon
What have we learned?
• Hand writing is a challenge for AI and humans
• Form Recognizer works great with printed text
• Initial setup is a bit lengthy
• Don’t use doted lines over solid line
• Checkboxes are not yet supported
Join the Conversation @AzureSydneyUG @jernej_kavka
What about Check/Radio boxes?
“How hard can it be?”
Anonymous
Azure Custom Vision
• Use object recognition
• Upload 15+ images
• Manually draw boundaries for
• Unchecked checkbox/radio box
• Checked checkbox/radio box
Join the Conversation @AzureSydneyUG @jernej_kavka
Uploading images
Join the Conversation @AzureSydneyUG @jernej_kavka
Manually draw regions
After training the number don’t look that good… Maybe it will work?
Ok, it got 3 right….
Plan B:
More focused training
Almost all radio boxes are marked while bad data is skipped
Looks better…
It’s… actually pretty good ☺
It still need some work, though…
Ok… Maybe I need even more data?
Plan C:
Custom Form Recognizer + ML.NET
Form Recognizer can give us location of all sentences, no training required!
Step 1 – Find all labels for radio boxes
Step 2 – Define a unit based on relative distance
1 relative unit
Step 3 – Calculate relative positions based on that unit
6.5 relative unit
Step 4 - Mess around with numbers until you find most of the radio boxes on most forms
Step 5 – Cut radio boxes. Now, I got ~15,000 training images to work with!
Step 6 – Do ML.NET Image Classification (mostly because it’s free and I like it)
Step 7 – Train based on confirmed correct images
Step 8 – Train! Finally, the results I’ve been waiting for! 🎉
Step 9 – Test! A few hundred random radio boxes worked perfectly!
About 80%+ of forms seems to work correctly!
Some forms needed a bit of “Math and statics magic” when data wasn’t available
And some need a bit more work (less than 10%!)
Summary
• Recognizing data on Forms is easy
• Recognizing radio/checkboxes is not
• Microsoft is already working on a solution
• It took me 40+ hours for semi-generic solution
• I’ll open source images and ML.NET model
Join the Conversation @AzureSydneyUG @jernej_kavka
Thank you!
@Jernej_kavka
https://bit.ly/AzureFormRecognizer
info@ssw.com.au
www.ssw.com.au
Sydney | Melbourne | Brisbane | Canberra

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