Runs at Line Speed
Designed for real-time inspection on fast-moving lines — no slowing down production to accommodate the vision system.
Manufacturing · Edge AI · Vision QC
AI vision QC for bottling and packaging lines
Catch underfills, missing labels, and crooked caps at line speed — automatically, on-device, before defects reach a box.
At 200+ bottles a minute, manual inspection is inconsistent by nature. Underfilled bottles, missing labels, and crooked caps slip through — and reach the customer before anyone notices.
A line worker might catch an obvious defect and pull the bottle, but there's rarely a record of what went wrong, how often, or at what point in the shift.
Most inspection systems assume reliable connectivity and are priced for large-scale rollouts — a poor fit for a single line running on-premise, with no IT team to manage cloud integrations.
A camera over the line, an edge device, and a dashboard — no cloud, no conveyor modifications
A camera positioned over the conveyor captures every bottle as it passes — no changes to line speed or layout.
Classical computer vision and a trained model check fill level, label presence and alignment, and cap placement — on-device, at line speed, with no cloud round-trip.
Every flagged bottle is recorded with defect type and timestamp — building a record supervisors can act on instead of a pile of handwritten notes.
A browser-based dashboard shows defect trends by type and shift, so quality issues get caught at the pattern level, not just bottle by bottle.
Designed for real-time inspection on fast-moving lines — no slowing down production to accommodate the vision system.
Checks fill level, label presence and alignment, and cap placement in a single pass — not separate systems for each defect type.
Runs entirely on a local edge device. No cloud dependency, no data leaving the plant floor, no reliance on internet connectivity.
Browser-based dashboard shows defect rates by type and shift, helping identify recurring issues rather than just individual rejects.
Camera-based, positioned over the existing line — no conveyor modifications, no special lighting rigs required.
Built on the same on-device vision approach as our food-safety inspection product — proven edge inference, adapted for packaging-line defects.
Tell us about your line and current QC process — we'll assess fit and walk you through what a pilot would look like.