Phase 1
Collect
Camera placement, lighting, lens, frame-rate. We capture across shifts and seasons so the data covers the cases the model will actually see.
The model is the easy part. The hard part is the lens that fogs over in summer, the new SKU that nobody told the data team about, and the lighting that drifts six lumens by month three. Computer vision in industry is a labeling and feedback problem first, and a deep-learning problem second.
We deliver the full loop: camera selection, capture pipeline, labeling tooling, model training, edge or cloud deployment, and the retraining workflow that lets your team add a new defect class without phoning us. The model is a deliverable. The loop is the asset.
Each one delivered with a labeling pipeline, an eval set, and a runbook for the day the camera moves.
Surface scratches, missing components, mis-prints, color drift. Per-station accuracy reports your QC team can actually act on.
Pieces on a conveyor, vehicles through a gate, customers through a doorway. Persistent IDs across frames, even when things overlap.
Printed labels, handwriting, tables, and stamps — extracted into structured fields with the confidence score for downstream routing.
Drone surveys, satellite passes — change detection, asset counts, vegetation encroachment. Stitched, georeferenced, and queryable.
NVIDIA Jetson, Coral, or industrial PCs on the floor. Inference at the camera, no round-trip to the cloud, telemetry sent up.
Mis-predictions captured, queued, labeled, and folded back into the next model version — automatically, on a schedule.
It is a loop, not a launch. The model on day one is rarely the model on day ninety.
Camera placement, lighting, lens, frame-rate. We capture across shifts and seasons so the data covers the cases the model will actually see.
Annotation tooling shaped to your taxonomy, with reviewer workflows and inter-annotator agreement scoring. Labels are the asset.
Architectures matched to the constraint — accuracy budget, latency budget, edge memory. Tracked runs, reproducible, all in code.
Hardened image, OTA updates, drift monitoring, and a clear path for your team to retrain on new defects without our help.
Send a few hours of representative video. A free read-out will tell you whether vision is a fit — or whether a cheaper sensor wins.