The science behind behavior intelligence for swine production.
PorSeen turns ordinary barn video into validated behavior signals: feeding access, active feeding, rest, piling, activity, isolation, and competition. Those signals become early-warning workflows producers can act on before performance or welfare problems compound.
Behavior signals captured from camera feeds
Observable labels
The vision stack focuses on what a camera can verify: visible count, body contact, head-at-feeder, active feeding, lying/resting, piling, low activity, isolation, and competition.
Risk indicators
Longitudinal behavior trends surface feeding-drop risk, low-activity risk, dense-piling risk, and resource-competition risk in a form producers can inspect and review.
Outcome research
As outcome labels accumulate, the same evidence pipeline can connect behavior changes to growth, lameness, respiratory, and feed-conversion outcomes.
Every reviewed frame sharpens the system.
Capture
Raw videos and generated annotated replays are retained as evidence.
Review
Humans label paused frames, event samples, and issue rows.
Train
Reviewed frames become segmentation and pose candidates.
Validate
Count, feeding, piling, activity, and event metrics are scored after each iteration.