Inline web inspection

Web Inspection System for Film, Sheet and Roll Goods

Tristar puts line-scan cameras across the full width of your web, classifies every defect as it passes, and writes it to a roll map and roll report your team and your customers can check later.

Our Customers
25%
Scrap reduction
50%
Fewer customer claims
2 FTE
Redeployed from manual inspection
4 months
Payback

Results from a plastic film deployment. Read the case study

Every foot, edge to edge

Line-scan cameras cover the whole width of the web for the whole length of the run, so nothing depends on where an operator happened to look.

A roll you can vouch for

Each roll leaves with a report: defects by position, size and time, plus width, material type and roll ID.

Mark it while it's moving

A PLC signal can fire an edge flagger or marker at the defect, so the rewinder or the slitter knows exactly where to cut.

A web inspection system has one job that sounds simple: look at every square inch of a moving web and remember what it saw. Film, sheet and roll goods don’t come in parts you can pull and examine. A defect is a position on a roll that may run for miles, and by the time anyone unwinds it, the customer is the one doing the unwinding.

Tristar inspects the web inline, at production speed, across its full width. It names each defect, logs where it is, and tells the line before a short contamination event becomes a whole roll of claims.

Why roll goods are hard to inspect by eye

An operator at the winder watches a band of web for as long as attention holds, and only the side facing them. Defects that matter are small next to the web, and a lot of them only show at the right angle to the light. Pulling a sample from the tail of a roll says nothing about the middle.

Older inline web inspection solved the coverage problem with thresholds: anything darker or brighter than the background gets flagged. That works on plain clear film. It gets noisy on printed web, on film whose gauge and haze shift during a run, and on material where a harmless gloss change looks like a defect to a pixel counter. Operators learn to ignore the alarms, which defeats the point.

How AI web inspection works on a moving line

  1. Image the full width

    Line-scan cameras span the web and build a continuous image row by row. Lighting is set up in the lab for your material before anything is mounted.

  2. Classify each defect

    An edge server next to the line runs a model built on a foundation model that understands materials. It looks past gloss, haze and background and decides what each mark is.

  3. Act on the line

    The PLC fires a flagger or edge marker, and the operator gets an alert while the cause is still at the die, the screen pack or the winder.

  4. Write the roll record

    Each defect goes into the roll map and roll report with its position, size and time.

Classification is what separates a useful system from a noisy one. A gel and a carbon speck have different causes and different fixes, so they shouldn’t arrive as the same red dot. How AI defect detection works follows a single defect through that loop.

Roll maps and roll reports

A roll map lays the roll out flat with every defect drawn where it sits. Charts on top of it show defects by location across the width, by size and by time. Patterns jump out: a lane that keeps throwing gels points at the die, a burst at one timestamp points at a screen change.

The roll report is the document that leaves with the roll. Tristar tracks width, material type, roll identification and the defect history, and the layout is built around what your quality team and your customers ask for. When a claim arrives, finding the roll and the stretch in question is a lookup.

Decision Without a roll record With a Tristar roll map
A defect burst mid-roll Scrap or downgrade the roll Cut out the affected stretch
Customer claim on a delivered roll Argue from samples Show position, size and time
Recurring defect in one lane Found after several claims Visible on the charts during the run
Slitting plan Based on hope Based on where the defects are

Placement, footprint and flaggers

The station is designed around your line, not the other way around. Cameras are an array chosen for web width, speed and the smallest defect you need to catch. If the material changes as it travels, say before and after orientation or treatment, cameras can go at more than one point so you get full coverage. Tristar keeps the footprint small and shows the layout in the proposal.

Flaggers and edge markers are a common request: the system sees a defect and tags the edge of the web so the rewinder can find it. That works, and it needs some hardware design so the flag lands at the right place on your line. The same PLC outputs can drive a reject or a stop when that makes more sense.

Processing stays on an edge server in the plant. If your IT team wants the detail, edge AI for quality inspection covers the architecture.

Film is where we’ve proven it

A flexible packaging producer runs Tristar web inspection on four high-speed film lines, catching contamination, seal bar defects and gusset irregularities. Scrap fell 25% and customer claims fell 50%. The plastic film inspection page goes deeper on that industry and its defect types.

Other roll goods follow the same pattern, but we’ll tell you what the system can do on your web after we run your material. Send good and bad samples and we’ll start in the lab.

Why Tristar AI

What comes with a Tristar web inspection system

Full-width line-scan imaging

Cameras and lighting sized for your web width, line speed and the smallest defect you care about.

Named defects instead of spots

Gels, carbon, eyelashes, pinholes, burn-through, contamination and scratches are classified, not reported as anonymous blobs.

Roll maps

Every defect plotted where it sits on the roll, with charts by location, size and time.

Roll reports

Width, material type, roll identification and defect history per roll, laid out the way your team needs it.

Flaggers and edge markers

PLC outputs tag the web at the defect. Each flagger setup gets some hardware design for your line.

More than one inspection point

When the product changes along the line, cameras can sit at several stations for full coverage.

Alerts at the line

On-screen, sound and mass alerts reach the operator who can clean a die lip or change a screen pack.

Runs inside your plant

An edge server next to the line does the processing. Nothing needs to go to the cloud.
Testimonials

See what our customers have to say about Tristar AI

The implementation was much smoother than we expected. Within days we were already identifying issues we hadn't been catching before.

Director of Engineering
Automotive Tier-1 OEM

Our operators can focus on solving problems instead of trying to find them.

Director of Engineering
Automotive Tier-1 OEM

Tristar AI catches defects our operators simply couldn't see.

Director of Engineering
Automotive Tier-1 OEM

Frequently asked questions

What is a web inspection system?

It's a camera system that inspects continuous material, such as film, sheet, foil, nonwovens or paper, while it moves through the line. Line-scan cameras build an image of the full width one row at a time, and software finds and records defects by their position on the roll.

How fast can the web run?

Tristar has run on lines up to 1,600 feet per minute. Line speed doesn't change what the model can recognize; it changes which camera and lighting we specify, and we confirm that on your material.

Can it tag the defect on the web?

Yes. The system sends a PLC signal to a flagger or edge marker at the defect position. Every line is different, so this takes some hardware design work up front.

Where on the line should the cameras go?

Where the defects become visible and before the material is hard to rework. If the product changes as it moves down the line, we can inspect at more than one point. Placement comes out of the station design and is shown in the proposal.

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