RoBee FrameVision
AI draft first. Beekeeper judgment last.
The goal is not to fake certainty. The goal is to give RoBee a clean first pass, show confidence visually, and capture high-value corrections that teach the system faster.
Current capability
FrameVision estimates the visible comb region, drafts a cell lattice, and lets you confirm mite and queen signals before saving reviewed training data.
Detected now
Upload a frame to estimate visible comb coverage, cell size, and approximate cell count before classifying eggs, brood, pollen, nectar, or honey.
Next passes
Egg density becomes credible when every visible cell is mapped.
Brood irregularity becomes measurable as percentages by cell type.
Risk cues can flag queen cells, stress pockets, and anomalies against the lattice.
Live review surface
Frame inspection viewport
Tap mites in mite mode. Drag a box in queen mode. Save only after the frame looks right.
Operator workflow
Training loop
This should feel like a simulator run: load a real frame, inspect in order, then commit the correction only when the teaching signal is clean.
Step 1
waiting
Use a real frame photo from the queue or upload one from the field.
Step 2
waiting
Check comb coverage first, then annotate mites or queen only in the active layer.
Step 3
waiting
Save only after the frame is corrected well enough to become reusable training data.
Reference imagery
Source images inside the training view
Spot-check the actual source folders without leaving the review flow.
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