Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

VisageCloud - Face Recognition meets Big Data.

536 views

Published on


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.

Published in: Technology
  • Be the first to comment

VisageCloud - Face Recognition meets Big Data.

  1. 1. Agenda  Context  Use Cases  Demo: what actors you look like?  Features  Face Detection  Classification  Feature Extraction & Analysis  Technical Performance  Offering
  2. 2. 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
  3. 3. 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
  4. 4. Demo: What actors you look like? Try it on http://visagecloud.com
  5. 5. 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
  6. 6. Face Detection Location. Key points. Spatial orientation.
  7. 7. Classification Gender. Age. Skin/eye/hair color. Mood.
  8. 8. Feature Extraction & Analysis Demo: Who’s the actor? Who’s your celebrity lookalike?
  9. 9. Peter Jackson Fergal Devitt Robert Swanson
  10. 10. 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)
  11. 11. Offering SaaS Cloud Billed monthly Based on consumption On-Premise Up-front fee Monthly support fee Consulting Integration Custom Requirements On-demand
  12. 12. Contact Us office@visagecloud.com +(40) 724 714 234 http://visagecloud.com

×