Visage Cloud merges state-of-the-art deep learning algorithms for face recognition and classification with data querying, tagging and querying techniques so as to empower you to leverage the full value of your data. Face recognition meets big data. In cloud or on-premise.

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.

11. Classification
Gender. Age. Skin/eye/hair color. Mood.

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