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Virtual Image Processing
Andreas - Rashmi - Winson - Yosin
Minority Report
Show video
Behind the Scene ‘Gesture-based UI’
Camera behind the glass screen
Gloves with 5 bright contrasting light
Machine learning to recognise
movement patterns
Black background (including his wear)
to reduce noise
Our Need
Deliver a presentation for IoT
Current Situation
Mouse - looking unprofessional
Clicker - expensive and some needs to face the laptop while pressing the button
Teammate - inefficient, extra human resource
Scheduled transition - memorise and tend to be difficult
You - stand behind the podium
AirSlide
Click for Demo
Opportunities
No current commercial slide motion control - first to market
Affordable setup using pi and camera
Any presenters (especially solo presenter / sales presenter) who can then easily
focus on audience and content sharing rather than interrupting clicks
Target Market
Same virtual image processing technology, new product…
Airdraw v1
Demo (Link)
Use Cases
Drawing live on scenery for Tourism Education
Live teaching through Video
Draw on air and turn it digital live
What about...
● Object 3-Dimensional tracking for
research or study purpose?
● Interior, building or layout design?
● Character buildings (Disney)?
Consumer Application
Scientific Application
3D trails tracking :
Bees Behaviour
Professional Ping Pong Match
Military Training
Dance Choreography
…
…
Can we do all these?
Airdraw 2.0
DEMO (LINK)
Architecture
Data Acquisition through Camera
Processing captured
images
Generating outputs
Challenges
Raspberry Pi is too slow; use Amazon but free version only Single Core CPU
Limited application in business for leisure product - more as data collection tool
Future Scope
Implement to Phone Camera instead of Raspberry Camera (Phone : Quad Core)
Change Color-Mask approach to Image-Recognition approach (hand)
Machine learning for motion recognition
Virtual Image Processing
AirSlide
Airdraw v1
Airdraw 2.0
by
Andreas - Rashmi - Winson - Yosin

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IoT - Virtual Image Processing (VIP)