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VisageCloud - Face Recognition meets Big Data.
Agenda
 Context
 Use Cases
 Demo: what actors you look like?
 Features
 Face Detection
 Classification
 Feature Extraction & Analysis
 Technical Performance
 Offering
The Context
 Market size estimated to reach 6.8 – 9.6 billion USD worldwide by 2022
 Machine face recognition at 95% accuracy, comparable to human capabilities
 Computational effort required for face analysis becomes economically feasible
 Growing interest for augmented reality and immersive experiences
Use Cases
 In-door advertisement targeting
 In-store and omni-channel identification of returning customers
 Online dating: finding members who are attractive or similar to reference photo
 Media and usability usability
 Sorting photo albums
 Security
 Smart surveillance
 Home surveillance
 Law enforcement
 National Biometric Identification System
 Border control
Demo: What actors you look like?
Try it on http://visagecloud.com
Features
• Find position
• Get face keypoints
• Determine
orientation
Face Detection
• Gender
• Age
• Mood
• Hair/Eye/Skin Color
Classification
• Encode face
signature
• Compare to known
persons
• Store and tag
signature
Feature Extraction
& Analysis
Face Detection
Location. Key points. Spatial orientation.
VisageCloud - Face Recognition meets Big Data.
VisageCloud - Face Recognition meets Big Data.
VisageCloud - Face Recognition meets Big Data.
Classification
Gender. Age. Skin/eye/hair color. Mood.
VisageCloud - Face Recognition meets Big Data.
Feature Extraction & Analysis
Demo: Who’s the actor?
Who’s your celebrity lookalike?
VisageCloud - Face Recognition meets Big Data.
VisageCloud - Face Recognition meets Big Data.
Peter Jackson Fergal Devitt Robert Swanson
Technical Performance
 Detection, analysis on a 1MP photo and comparison against 5000 reference
profiles (actors)
 Time: 2.3-2.5 seconds on one core
 Throughput/core/hour: >1000 pictures (assuming 1MP average size)
 Scalable, distributed architecture
 Executes on several multi-core machines
 Highly available data store with replication (Cassandra)
Offering
SaaS Cloud
Billed monthly
Based on
consumption
On-Premise
Up-front fee
Monthly
support fee
Consulting
Integration
Custom
Requirements
On-demand
Contact Us
office@visagecloud.com
+(40) 724 714 234
http://visagecloud.com

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VisageCloud - Face Recognition meets Big Data.

  • 2. Agenda  Context  Use Cases  Demo: what actors you look like?  Features  Face Detection  Classification  Feature Extraction & Analysis  Technical Performance  Offering
  • 3. The Context  Market size estimated to reach 6.8 – 9.6 billion USD worldwide by 2022  Machine face recognition at 95% accuracy, comparable to human capabilities  Computational effort required for face analysis becomes economically feasible  Growing interest for augmented reality and immersive experiences
  • 4. Use Cases  In-door advertisement targeting  In-store and omni-channel identification of returning customers  Online dating: finding members who are attractive or similar to reference photo  Media and usability usability  Sorting photo albums  Security  Smart surveillance  Home surveillance  Law enforcement  National Biometric Identification System  Border control
  • 5. Demo: What actors you look like? Try it on http://visagecloud.com
  • 6. Features • Find position • Get face keypoints • Determine orientation Face Detection • Gender • Age • Mood • Hair/Eye/Skin Color Classification • Encode face signature • Compare to known persons • Store and tag signature Feature Extraction & Analysis
  • 7. Face Detection Location. Key points. Spatial orientation.
  • 13. Feature Extraction & Analysis Demo: Who’s the actor? Who’s your celebrity lookalike?
  • 16. Peter Jackson Fergal Devitt Robert Swanson
  • 17. Technical Performance  Detection, analysis on a 1MP photo and comparison against 5000 reference profiles (actors)  Time: 2.3-2.5 seconds on one core  Throughput/core/hour: >1000 pictures (assuming 1MP average size)  Scalable, distributed architecture  Executes on several multi-core machines  Highly available data store with replication (Cassandra)
  • 18. Offering SaaS Cloud Billed monthly Based on consumption On-Premise Up-front fee Monthly support fee Consulting Integration Custom Requirements On-demand
  • 19. Contact Us office@visagecloud.com +(40) 724 714 234 http://visagecloud.com

Editor's Notes

  1. * http://www.marketsandmarkets.com/PressReleases/facial-recognition.asp * http://www.prnewswire.com/news-releases/facial-recognition-market-is-expected-to-reach-96-billion-worldwide-by-2022-584841741.html