

Add a real-time inspection layer to every web with vision AI for web and film inspection. Built for the lines where the product is meters wide moving at hundreds of meters a minute, a defect millimeters across hides in a kilometer of perfect material, and the gel you made today becomes the leaker your customer finds at converting. Whether you're extruding film, coating webs, or making paper and nonwovens, Roboflow inspects every meter at line speed, with per-roll defect maps behind every shipment.
Films and Extrusion:
Paper, Nonwovens, and Coated Webs:
Rolls, Root Cause, and Systems Integration:
Bring intelligence to every roll today. Stop web defects from becoming converting losses, customer claims, or the flaw found a plant away from the machine that made it.
What is web and film inspection with Vision AI?
Web and film inspection with vision AI uses computer vision models to inspect continuous webs at line speed: gels, fisheyes, and black specks on film, holes, spots, and streaks on paper and nonwovens, coating voids and skips on coated webs, wrinkles and creases at winding, and per-roll defect maps logged by lane and meter. Models trained on your actual material inspect every meter, with records that support ISO 9001 and customer specification documentation.
Can Vision AI keep up with a web at line speed?
The web is the throughput hard case: material meters wide at hundreds of meters a minute, a defect a few millimeters across in a kilometer of good product, and the periodic streak that only makes sense once you notice it repeats. Deep-learning models trained on your actual material and lighting run at line rate on edge hardware, judge each flag against your material's normal texture instead of a generic defect library, separate the gel that matters from the water spot that doesn't, and log everything to the roll map, which is how the alarm rate stays useful instead of becoming background noise.
Does this replace our thickness gauges and web inspection system?
No. Beta, X-ray, and IR gauges keep owning thickness and basis weight, and a line-scan web inspection system you already run keeps its role at speed. Vision AI adds the judgment those systems don't have: learned classification that tells a gel from a dust speck and cuts false alarms, defect types your material develops that a fixed library never listed, periodic-repeat analysis that turns a repeating flaw into a named roller, and coverage at the slitters and rewinders downstream of the main scanner. Gauge data, scanner flags, and vision findings land in the same per-roll record.
Can it integrate with our line PLCs, winders, and MES?
Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so web inspection events flow into your existing systems: line and winder PLCs from Allen-Bradley and Siemens, MES and ERP platforms like SAP and Oracle, and SCADA and HMI platforms like Ignition and AVEVA, through REST, MQTT, OPC UA, and direct database writes. PLC-level integration flags a lane, marks a defect, or triggers a downgrade decision the moment a check fails, and every event carries roll, lane, meter position, imagery, and disposition, with a full audit trail behind every shipment.