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

office@visagecloud.com

+(40) 724 714 234

http://visagecloud.com