Technology
What we are best at

Tech Specs

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Edge-Based
Suitable for sensitive and classified environments
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Camera Agnostic
Software solution can run on any camera
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Real-Time
Analyzes 70 frames per second
on a 2016 Macbook Pro
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Continuous Learning
Our model is constantly improving and significant updates are delivered directly to your device
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Lightweight
300kb model, can run on a Raspberry Pi
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Secure
Processing runs on the device, no video is saved or stored
Data Pipeline

MatchMoji

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Proprietary Data Collection

Behind the Scenes

Our emotion recognition model is trained from a proprietary data set collected through an iOS app, MatchMoji.

‍MatchMoji is a game in which players are presented with a set of random emojis. They must match the expression of the emoji and can compete with friends on a leaderboard.  Players can play the game without sharing any data, or they can play in Train mode which shares data to help improve our model.

Image of MatchMoji menu interface
Nuance and Self-curation

Accuracy

Because MatchMoji asks users to match an expression, our self-labeled dataset captures both nuance and extreme reactions. While we also review data tags, we rarely adjust and instead let our community weigh in on expression interpretation.

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