Face Insights: Unbiased Edge AI + Privacy.
Emotion Attention
Gender Age Ethnicity
Identification
MoodMe provides customers with Insights on audiences thanks to advanced edge AI.
Privacy by design: all processing on the end-user device. No faces stored. No Cloud.
- 7 emotions: Happy, Surprised, Afraid, Angry, Disgusted, Sad & Neutral. Measured on a 0 – 100 scale.
- Blended emotions: combinations of base emotions
- attention
- gender
- age
- ethnicity
- identification: face matching
MoodMe runs anywhere: Mobile, Web, Desktop, IoT, robots. Our C/C++ code and neural networks can be ported to any other platform.
Problems
Measure Customer Experience
Recognize People
Privacy concerns
Solutions
Emotions, Attention and Gender, Age detection
Accurate and Instant Identification
Local processing. No Faces Stored. No Cloud.
BENEFITS
All-in-1
- detection of subtle emotions
- gender & age
- recognize returning customers
- optimized for mobile & embedded systems
Performances
- Mobile first, ultra optimized code for embedded devices
- Adaptive to power of device for best trade offs
- Works in dark environments & low definition faces
Openness
- Broadest range of platforms, mobile, web, desktop, server, embedded IoT
- Easy to integrate with free reference App source code
- Privacy protection built in