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.
Demo: what actors you look like?
Feature Extraction & Analysis
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
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
National Biometric Identification System
Demo: What actors you look like?
Try it on http://visagecloud.com
• Find position
• Get face keypoints
• Hair/Eye/Skin Color
• Encode face
• Compare to known
• Store and tag
Location. Key points. Spatial orientation.
Detection, analysis on a 1MP photo and comparison against 5000 reference
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)
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