What we are best at

Tech Specs

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Suitable for sensitive and classified environments
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Camera Agnostic
Software solution can run on any camera
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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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300kb model, can run on a Raspberry Pi
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Processing runs on the device, no video is saved or stored
Data Pipeline


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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.

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Nuance and Self-curation


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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