Home▸AI & Machine Learning▸AI Hive Diagnostics: Acoustic & Computer-Vision Health Monitor

🐝 AI Hive Diagnostics: Acoustic & Computer-Vision Health Monitor

A beekeeper's AI diagnostic dashboard for a live 3D hive: tune colony activity, varroa mite load, honey-weight trend and ambient temperature, and watch a softmax classifier score Healthy vs Swarm-Risk vs Disease-Alert vs Varroa-Detected from simulated acoustic and computer-vision signals.

AI & Machine Learning3DModerate60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsColony-activity slider (0-100%) sets active bee count and swarm speed; varroa mite-load slider (0-100%) tints infested bees red and drives disease/varroa risk; hive weight-trend slider (-2 to +3 kg/day) raises swarm-risk when strongly positive; ambient-temperature slider (10-42C) adds thermoregulation stress away from the 33C brood ideal; three scenario presets (Healthy / Varroa outbreak / Swarm prep) set all four at once.

Three.jsAI diagnosticsbeekeepingsoftmax classifierInstancedMesh

📖 Read the articleThe maths behind AI Hive Diagnostics: Acoustic & Computer-Vision Health Monitor

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⚙ Under the hood

Tune colony activity, varroa mite load, honey-weight trend and ambient temperature on a live 3D beehive, and watch a softmax classifier score Healthy vs Elevated Swarm Risk vs Possible Disease Alert vs Varroa Detected from simulated acoustic and computer-vision signals.

Three.jsAI diagnosticsbeekeepingsoftmax classifierInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install