Coating Thickness and Coverage AI

Add a real-time inspection layer to every coated part with Roboflow Vision AI for coating thickness and coverage. Built for paint lines, powder coating booths, and protective coating contractors where thickness is checked with a gauge on a few points per part, and a thin spot or holiday between those points shows up later as corrosion or a failed audit.

Coverage and visible film defects:

• Detect holidays, bare spots, and areas the spray missed, especially in corners, edges, and recesses, with a model trained on your own parts and coatings.
• Find thin spots where substrate or primer shows through, and uneven film build that shows as color or gloss variation.
• Flag runs, sags, overspray, and orange peel that point to film that is too thick.

Tie images to thickness readings:

• Read dry film thickness gauge displays by OCR and log each reading with the part, location, and time.
• Check that required measurement points on each part were taken, so the thickness record is complete.
• Combine gauge readings with visual coverage so a part with good readings but a visible holiday is still caught.

Process control:

• Trend coverage and defect rates by booth, gun, recipe, and shift so engineers see drift in spray pattern or film build.
• Send a hold or reject signal to the PLC for a part with missing coverage.
• Keep an image and thickness record per part or lot for customer and audit requirements.

Bring intelligence to every coated part today. Stop thin spots and holidays from becoming recoats, failed audits, and field corrosion.

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Frequently asked questions

What is coating thickness measurement with Vision AI?

Coating thickness measurement with Vision AI uses booth exit, conveyor, or handheld cameras and a trained computer vision model (opens in a new tab) to check coating coverage and find holidays, thin spots, runs, and overspray, while reading and logging dry film thickness gauge measurements. Together they give a coverage and thickness record for every part. It pairs with powder coating inspection, automotive paint defect detection, and plating and coating inspection.

Can Vision AI measure coating thickness from an image?

What Vision AI adds is coverage: it inspects the whole surface between gauge points, flags areas that look thin or missing, and reads and records the gauge values so the thickness data is complete. Some translucent coatings show thickness as color change, and a model can be trained on that where the relationship is proven.

Does coating inspection support ISO 2808, ASTM D7091, and SSPC-PA 2?

Coating inspection supports the measurement and record-keeping expectations of ISO 2808 (methods for determining film thickness of paints and varnishes), ASTM D7091 (nondestructive measurement of dry film thickness on metals), and SSPC-PA 2 (the procedure for determining conformance to dry coating thickness requirements, including the number of measurement spots), with image-backed records for ISO 9001.

Roboflow serves as the inspection engine, and your coating and quality teams own the thickness specifications, measurement procedures, and acceptance decisions.

Can it integrate with our coating line, gauges, and quality systems?

Yes. Roboflow writes pass/fail and coverage results to a PLC tag over OPC UA or MQTT, so the line can reject or hold a part, and sends results, gauge readings, and images over REST (opens in a new tab) or to a database for MES and quality systems. Readings can also come directly from connected gauges such as Elcometer and DeFelsko PosiTector and be joined with the image record.

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