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Material-level inspection for electronics manufacturing

Turn a visual judgement
into a documented measurement.

Identify coating presence and coating type in a single non-contact pass, including transparent coatings that look identical under normal light. No sample preparation, no destructive testing.

Hyperspectral classification of a populated circuit board: acrylic conformal coating in yellow, polyurethane-alkyd resin in blue
  • Acrylic conformal coating
  • Polyurethane-alkyd resin
  • Clearcoat presence detected, two transparent coatings told apart
  • HELIOS EC64 NIR line scan, 930–1700 nm, real-time classification
  • Complements IPC-A-610 inspection, does not replace it

The challenge

The variation you cannot see

Conventional vision cannot see differences that are critical to quality. Variation in coatings, resins and solder alloys, or contamination, may be invisible, yet it can cause defects or reduce reliability.

Concealed coating defects

Thin or uneven coatings are invisible to the eye but change how the assembly survives moisture, dust and temperature.

Virtually identical materials

Different resins and polymers look the same under normal light, yet behave very differently over the product lifetime.

Hidden contamination

Flux residues, oils and particulates are hard to detect and can end up as resistance drift or field failures.

Two coatings. Same appearance.
Different protection.

One board, one measurement, two views. Drag to compare what an appearance-based check records with what the material signal shows.

  • Left: the board as a conventional RGB camera records it.
  • Right: the same board, same frame, with the hyperspectral layer on top.
  • Recorded on a HELIOS EC64 in the Headwall proof of concept.

Both frames come from the same measurement, so every feature stays in register as you drag.

Headwall hyperspectral view of a populated circuit board, with coated and uncoated areas separated by colour
Standard RGB camera view of the same populated circuit board
RGB Hyperspectral

What hyperspectral imaging reveals

Coating type

Separates similar polymers, resins and conformal coatings by their spectral signature.

Material variation

Identifies subtle formulation or batch differences before they reach the field.

Process insight

Turns coating and material quality into a plain, recorded signal instead of an opinion.

Contamination detection

Flux residues, oils and particulates that stay invisible in a standard check.

Coating presence and coverage

Detects thin, uneven or missing coatings, including coatings with no UV tracer.

Proof point

Coating detection and coating differentiation

Two separate tests on PCB samples, each trained with two classes, carried out in a laboratory setup.

Test 1 Can a transparent coating be detected at all?

A hydrocarbon-based acrylic coating applied to one third of the board, trained as two classes: coated and uncoated.

RGB
RGB photograph of the test board with acrylic coating on one third
Mean spectra per class · EVK SQALAR
Mean NIR spectra of the coated and uncoated classes, 930 to 1700 nm
  • Coated
  • Uncoated
Classified
Classified image of the same board: coated areas in red, uncoated in green
  • Coated
  • Uncoated

Test 2 Can two transparent coatings be told apart?

Acrylic conformal coating on the top half, polyurethane-alkyd resin on the bottom half, trained as one class each.

RGB
RGB photograph of the second test board with two transparent coatings
Mean spectra per class · EVK SQALAR
Mean NIR spectra of the acrylic conformal and polyurethane-alkyd classes
  • Acrylic conformal
  • Polyurethane-alkyd
Classified
Classified image of the second board: acrylic conformal in yellow, polyurethane-alkyd in blue
  • Acrylic conformal
  • Polyurethane-alkyd

What was measured

Two tests on PCB samples. First, a hydrocarbon-based acrylic coating applied to one third of a board, trained as two classes: coated and uncoated. Second, an acrylic conformal coating on the top half and a polyurethane-alkyd resin coating on the bottom half, trained as one class each. All three coatings are transparent.

How

HELIOS EC64 real-time hyperspectral line-scan camera on an EVK LabStation: four halogen illumination units emitting across the NIR range of 930–1700 nm, a linear actuator moving the sample underneath the camera, and 256 wavelength pixels per spatial point. Training points were marked on the coated and uncoated areas, and the classification models were built in EVK SQALAR.

What it showed

Detecting a clearcoat is feasible, and two coatings can be told apart on a PCB. The classified images show slight misclassifications, mostly on areas that are lighter or darker, or on parts that return a strong spectral signal themselves.

Where this fits

Alongside the standards you already inspect against

Conformal coating is qualified under IPC-CC-830 and inspected against IPC-A-610 acceptance criteria, usually visually or under UV. Hyperspectral imaging adds what those checks cannot confirm: which material is actually there, including coatings that carry no UV tracer.

  • IPC-CC-830
  • IPC-A-610 rev. J
  • J-STD-001

Applications

Across the electronics value chain

One application is validated in our lab. The others are plausible and start with a feasibility check.

Conformal coating inspection

Verify presence, coverage and coating type.

Validated in our lab

Adhesives and sealants

Detect voids, inclusions or the wrong material.

Feasibility on request

Dielectric and surface analysis

Identify dielectric materials and surface compounds.

Feasibility on request

Polymers and material ID

Differentiate resins and polymers for consistency.

Feasibility on request

Flux and contamination

Find residues, oils, particulates and foreign material.

Feasibility on request

Process monitoring

Track variation over time to improve line quality.

Feasibility on request

Related resources

PDF · 9 pages

PCB Coating Feasibility Study

Setup, spectra and classified results for two transparent coating tests on a PCB, including where the method reaches its limits.

Get the feasibility study

Viewpoint · From 3 Aug

When PCB Coating Inspection Misses What Matters

In electronics manufacturing, some of the most consequential coating problems are also the hardest to see.

Read blog post

Data sheet · PDF

HELIOS EC64

The NIR line-scan camera used in the measurement: 930–1700 nm, 256 wavelength pixels per spatial point, real-time classification.

Download the data sheet

For your own assessment

Get the Feasibility Study

PCB coating inspection with hyperspectral imaging: setup, spectra, classified results, and the conditions under which detection reaches its limits.

  • Two tests, measured and classified
  • Setup, illumination and camera configuration
  • Where the method reaches its limits

PCB Coating Feasibility Study

Headwall · 9 pages

PDF · 9 pages · HELIOS EC64 laboratory setup, two tests with two classes each.

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