iot - virtual image processing (vip)
TRANSCRIPT
Virtual Image ProcessingAndreas - Rashmi - Winson - Yosin
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 SituationMouse - looking unprofessionalClicker - expensive and some needs to face the laptop while pressing the buttonTeammate - inefficient, extra human resourceScheduled transition - memorise and tend to be difficultYou - stand behind the podium
AirSlideClick 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…
Use CasesDrawing live on scenery for Tourism Education
Live teaching through Video
Draw on air and turn it digital live
Show demo >>
What about...
● Object 3-Dimensional tracking for research or study purpose?
● Interior, building or layout design?
● Character buildings (Disney)?
Consumer Application
Scientific Application3D trails tracking :
Bees Behaviour
Professional Ping Pong Match
Military Training
Dance Choreography
…
…
Open to your creativity….
Can we do all these?
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
AirSlideAirdraw v1Airdraw 2.0
byAndreas - Rashmi - Winson - Yosin