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== Crowd Analytics through Facial Recognition == | == Crowd Analytics through Facial Recognition == | ||
Revision as of 16:40, 9 September 2015
From Interdrone 2015
Crowd Analytics through Facial Recognition
Eyeris
Software package called ImoVu - Deep Learning architecture for image processes that imitates human recognition
- Vision for Embedded Systems
- 97% accurate
- 140 FPS on i7 processor
- Ambient Intelligence (AML) - Electronic environments that are sensitive and responsive to the presence of people.
- Minimal required resolution for a face: 50x50px, Ideal 70x70px
- Does not use FACS
- Allows for
- Access to Hard to reach places
- Large coverage area
- Eye Level
- Improved angles
- Trained For
- 5 Major ethnic groups
- 5 age groups
- 2 genders
- 10 lightning conditions
- 13 head poses
- supervised and unsupervised
- different camera structures
- different resolution
- different face attributes
- Joy
- Surprise
- Sadness
- Disgust
- Anger
- Fear
- Neutral