visagecloud - face recognition meets big data
TRANSCRIPT
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
signatureFeature
Extraction & Analysis
Face DetectionLocation. Key points. Spatial orientation.
ClassificationGender. Age. Skin/eye/hair color. Mood.
Feature Extraction & AnalysisDemo: Who’s the actor?Who’s your celebrity lookalike?
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-PremiseUp-front fee
Monthly support fee
Consulting
IntegrationCustom
Requirements
On-demand
Contact Us
+(40) 724 714 234
http://visagecloud.com