AI
A dog cannot tell you it slept badly. It just does, and then it is cranky, or slow on the morning walk, or off its food, and you are left guessing why. Sleep quality turns out to be one of the earlier signals that something is wrong with a dog:
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In our previous post we described the multi-stage vision pipeline we built to identify dogs by their facial landmarks - covering preprocessing, embedding model training, gallery building, and real-time inference. This post covers what happened when we ran it on real camera footage and reviewed every result manually. Setup A
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In our first post on the bark detection pipeline, we showed how a single threshold on jerk_3d_max gives a useful signal for detecting barks from a dog collar IMU. For any capture window where jerk_3d_max crosses 6.5 g/s, the rule calls it a bark.
AI
How we are building a dog facial recognition system from scratch using landmark alignment, metric learning, and a custom-trained embedding model The Problem EverBowl is Hoomanely's precision healthcare deivce for dogs. The bowl monitors eating and drinking habits, ocular temperature, sounds and behavioral patterns over time, turning routine
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A collar microphone cannot tell whose bark it heard. It picks up every sound within range — the dog wearing it, the beagle three doors down, the TV in the background. An audio classifier running on the firmware can label a sound as "bark," but it has no way