SWIR Camera Lens for Electronics and PCB Inspection: Hidden Material Differences, Encapsulation and Component Quality Control

Electronics inspection is often treated as a surface-imaging problem: verify component presence, inspect printed features, check orientation, locate visible contamination and confirm that an assembly matches the expected layout. Those tasks remain important, but they represent only part of the quality-control challenge. Modern electronic assemblies increasingly contain encapsulated devices, polymer coatings, adhesives, underfill materials, molded packages and stacked structures whose critical interfaces are partly or completely hidden from ordinary visible inspection. Two materials may also appear almost identical in colour while differing in composition, curing condition or contamination. A SWIR camera lens for electronics and PCB inspection becomes valuable when the inspection objective depends on these material-dependent differences rather than only on visible surface appearance.

Short-wave infrared imaging works because many semiconductor, polymeric and organic materials interact with approximately 900–1700 nm radiation differently from visible light. Under suitable conditions, selected packaging or encapsulation materials may transmit useful SWIR radiation, while coatings, adhesives, contamination, silicon structures and other materials can produce contrast through differences in absorption, transmission, reflection or scattering. SWIR inspection is consequently used in electronics and semiconductor packaging for hidden structures, underfill-related defects, package alignment, internal contamination and material differentiation that visible inspection cannot reliably access.

The dedicated Kyptec Automation® SWIR Camera Lens collection provides five focal lengths—8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm—within a focused 900–1700 nm platform. Current product pages specify 2 MP resolution, 2/3-inch sensor format, F1.4 aperture and C-Mount, and electronics is explicitly included among the application areas for the range. This makes Kyptec Automation® particularly useful to evaluate when an OEM needs different inspection geometries for board-level screening, component inspection and tighter encapsulated-electronics analysis while remaining within one specialized SWIR Camera Lens family.

Why Electronics Inspection Needs Material Contrast, Not Only Surface Contrast

A visible camera primarily records reflected visible radiation. It can determine whether a resistor is missing, whether a connector is misaligned or whether an exposed PCB surface contains an obvious scratch. It becomes less effective when the quality condition exists beneath an encapsulant, under a silicon die, inside a molded package or within materials whose visible colours are nearly identical.

SWIR imaging adds another dimension because the relevant contrast can originate from material properties rather than colour. Certain polymers and encapsulating materials become more transmissive at selected SWIR wavelengths, while other materials remain absorbing or reflective. Coatings, adhesives and contamination that look similar under visible illumination can also respond differently in SWIR. Industrial semiconductor and electronics inspection references specifically identify the ability to see through selected packaging materials and differentiate coatings, adhesives and contaminants as important SWIR advantages.

For a machine builder, this means the correct starting question is not “Can SWIR inspect a PCB?” It is which hidden material interface or quality difference must become visible, through which overlying material, and at what wavelength does sufficient contrast exist?

PCB Inspection and Encapsulated-Electronics Inspection Should Not Be Confused

A bare printed circuit board and a fully encapsulated electronic assembly present very different optical problems.

On a bare PCB, visible imaging may already provide excellent information for printed patterns, exposed tracks, component placement and surface contamination. SWIR becomes more compelling when the system needs material-sensitive information that visible imaging cannot provide, such as differentiating selected polymers, viewing structures through certain coatings, examining package material variation or identifying contamination beneath a SWIR-transmitting layer.

Encapsulated electronics introduce a different challenge because the camera must obtain useful information through an overlying material.

The encapsulant can absorb part of the SWIR radiation, scatter it, reflect it at interfaces or introduce optical non-uniformity. The amount of useful information therefore depends on encapsulant composition, pigment, thickness, wavelength and the depth of the target feature.

An OEM should never specify “see through encapsulation” without sending representative production samples for spectral feasibility testing.

Not Every Encapsulant Is Transparent in SWIR

This is one of the most important limitations to understand before buying optics.

Some plastics and encapsulation materials that are opaque or difficult to inspect in visible light can become comparatively transmissive at SWIR wavelengths. That property supports inspection of encapsulated electronic structures and selected polymer packages. However, transmission varies strongly by polymer chemistry, fillers, pigments, thickness and wavelength. Industrial SWIR systems are used to inspect selected encapsulated electronics and packaging materials, but this capability is always material-dependent rather than universal.

Carbon-loaded compounds, highly absorbing fillers or thick molded materials may transmit very little useful SWIR radiation. Even a clear-looking polymer can contain additives that introduce strong infrared absorption.

The proper feasibility procedure is therefore to measure the actual package or encapsulant across the intended wavelength range before the mechanical inspection station is finalized.

Hidden Material Differences Can Be More Valuable Than Hidden Geometry

Electronics quality control is not always trying to “see through” an object like an X-ray image. In many cases, the goal is simply to distinguish materials that conventional imaging cannot separate reliably.

For example, an approved adhesive and a contaminant may have similar visible appearance but different SWIR reflectance. A coating may be difficult to distinguish from the underlying substrate in RGB imaging but may create useful spectral separation at selected SWIR wavelengths. Different polymer or resin conditions can also produce material-dependent contrast.

This type of inspection can be valuable for:

coating presence verification;

adhesive coverage;

resin or encapsulant differentiation;

foreign-material detection;

process contamination screening;

and confirming that the expected material occupies the correct region.

The lens must preserve those small material-dependent intensity differences with adequate contrast across the whole inspection field.

Underfill Inspection Requires a Clearly Defined Defect Mechanism

Underfill is used extensively in advanced electronic packaging to support mechanical reliability and manage stresses between bonded components. Voids, incomplete filling or cracks can compromise package integrity, and SWIR inspection has been used to reveal underfill-related defects and hidden structures in appropriate electronic and semiconductor packages.

However, an OEM should define precisely what “underfill inspection” means.

Is the machine looking for an unfilled region?

A trapped void?

A crack?

A distribution boundary?

A foreign particle?

Or incomplete coverage around a known structure?

Each condition can create a different optical signature. Some may alter transmission, others scattering or interface reflection.

The machine should be developed using known-good and deliberately defective samples in which the actual defect has been independently verified.

Metal Structures Remain a Critical Optical Limitation

SWIR does not make every material transparent.

Metal tracks, pads, shields and other metallic structures generally remain strongly opaque. If the target defect is completely hidden behind a metal region along the optical path, increasing SWIR wavelength does not automatically reveal it.

This limitation should be considered during inspection-layout development.

The engineer may need to change the viewing direction, inspect from the opposite side, use a different assembly stage before metallization blocks the target, or select another inspection technology for that specific defect.

A strong SWIR system is therefore one that exploits the materials SWIR can discriminate effectively while acknowledging where optical access remains physically blocked.

Conformal Coating Inspection Is a Material-Contrast Problem

Conformal coatings can be difficult to inspect when they are transparent or nearly invisible under ordinary lighting. If the coating material and PCB surface produce different SWIR responses, spectral imaging can potentially improve the visibility of coating boundaries, missing regions or thickness-related changes.

The exact result depends on coating chemistry and thickness. A highly transmitting coating may produce only subtle contrast, while another material can show much stronger absorption.

A coating-inspection project should therefore begin by measuring:

coated reference areas;

uncoated PCB areas;

approved thickness variation;

deliberately missing coating;

and contamination likely to occur during production.

The classifier should be designed around the difference between an acceptable coating window and unacceptable process conditions, not simply around maximum image contrast.

Adhesive Presence and Distribution Can Be More Important Than Adhesive Colour

Electronic modules frequently use adhesives whose visible appearance can be similar to the surrounding substrate or encapsulant. If the adhesive creates a distinct SWIR response, an inspection system can potentially determine whether adhesive is present where required and whether coverage is continuous.

This is particularly valuable where an adhesive path is partly covered or where colour-based inspection becomes unreliable because several materials look similar.

For an OEM, the measurable specification should be the smallest missing adhesive region or incorrect coverage area that changes the process decision.

Once that size is known, field of view and focal length can be calculated appropriately.

Component Quality Control Requires Separating Identity From Condition

SWIR material differentiation can support component-level verification, but “component inspection” can mean several very different tasks.

One system may need to verify that a package belongs to the expected material class. Another may inspect an encapsulated die position. Another may look for internal cracking, contamination or package non-uniformity.

These objectives should not be grouped under one generic classifier.

Identity verification asks whether the component belongs to the approved spectral/material population.

Defect detection asks whether an approved component contains an abnormal region.

The first may work with global material signatures; the second often requires much stronger spatial sampling.

900–1700 nm Gives OEMs a Useful Electronics Inspection Window

The Kyptec Automation® SWIR portfolio is specified for 900–1700 nm operation. This wavelength range is particularly useful for electronics development because it spans spectral regions where silicon becomes substantially more transmissive and where many polymeric materials exhibit material-dependent infrared behaviour.

This does not mean the full 900–1700 nm range should be weighted equally in every machine.

A development program should evaluate several illumination bands and identify the wavelength where the target material difference achieves the strongest normalized contrast against the real background.

For a coating, that wavelength may differ from the optimum band for imaging through silicon or inspecting an encapsulant.

A dedicated SWIR lens provides the spectral optical path; the application determines which part of that path is most useful.

Why This Application Is Different From Silicon-Wafer Inspection

Through-silicon semiconductor imaging concentrates heavily on silicon transmission, backside access, wafer thickness and hidden structures beneath silicon.

Electronics and PCB inspection has a broader material stack.

The relevant optical path can include:

PCB laminate;

polymer coating;

adhesive;

encapsulant;

silicon die;

solder mask;

ceramic material;

plastic package;

and metallic structures.

The engineer must therefore think in terms of stack-specific optical transmission rather than assuming that a configuration proven on bare silicon will behave identically on a finished electronics assembly.

This is why representative finished parts are essential during feasibility testing.

Field of View Should Follow the Smallest Hidden Defect, Not the Board Size Alone

An OEM can easily design a camera that captures the complete PCB. That does not mean the system can detect the required hidden feature.

Suppose a 1600-pixel horizontal image covers a 320 mm board width. Nominal object sampling is:

320 mm ÷ 1600 pixels = 0.20 mm/pixel.

A 1 mm defect then occupies approximately five pixels before blur, motion and contrast are considered.

If the target void or missing-adhesive region is 0.25 mm, that same FOV provides only about 1.25 pixels across the defect—clearly inadequate for robust imaging even before optical resolution is considered.

The correct specification is therefore:

required PCB region + smallest critical hidden feature + required pixel representation.

This calculation should be completed before focal length is selected.

Wide-Area Board Inspection With Kyptec Automation® KL-1410

When an inspection station needs to cover a relatively broad electronics assembly from limited camera height, the Kyptec Automation® KL-1410 12.5 MM SWIR Camera Lens provides a useful wide-field option. Its verified specifications include 12.5 mm focal length, 900–1700 nm operation, 2 MP resolution, F1.4 aperture, 2/3-inch format and C-Mount.

This geometry can be evaluated for larger board regions, multiple electronic packages within one field or production stations where broad coverage matters more than maximum local magnification.

The smallest required encapsulation or coating defect should still be used to verify that the field is not excessively wide.

Controlled Component Inspection With Kyptec Automation® KL-1412

For more localized component or PCB regions, the Kyptec Automation® KL-1412 25 MM SWIR Camera Lens provides a useful intermediate geometry within the dedicated SWIR family.

A 25 mm lens becomes particularly relevant where the machine no longer needs to observe an entire large PCB and instead needs greater sensor utilization over selected packages, adhesive regions, encapsulated structures or defined component groups.

This is often a stronger architecture than using a very wide lens and digitally cropping a small region, because the physical field can be designed around the actual quality-control requirement.

Tighter Encapsulation Inspection With Kyptec Automation® KL-1414

The Kyptec Automation® KL-1414 35 MM SWIR Camera Lens provides a narrower inspection geometry while retaining the 900–1700 nm, F1.4, 2 MP, 2/3-inch and C-Mount architecture. Electronics is explicitly identified among the model's intended applications.

This type of focal length is particularly useful to evaluate when the region of interest is relatively small and the OEM wants more of the camera's sensor area devoted to package, coating or encapsulation detail.

It can also support greater stand-off where mechanical tooling prevents the camera from being mounted close to the board.

Kyptec Automation® KL-1416 for Narrow Fields and Greater Stand-Off

Where the inspection region is smaller or the camera must remain farther from the assembly, the Kyptec Automation® KL-1416 50 MM SWIR Camera Lens provides the longest focal length in the current range. Its verified specifications include 50 mm focal length, 900–1700 nm wavelength range, F1.4 aperture, 2 MP, 2/3-inch format and C-Mount.

This configuration can be appropriate for tightly framed component-quality inspection, narrow package regions or installations where illumination hardware and tooling require greater camera clearance.

The OEM must still preserve enough positional margin so normal board-placement tolerance does not push the target outside the field.

PCB Positioning Tolerance Becomes Important With Narrower Optics

A laboratory operator can manually center one component. An automated PCB handler must locate the same region repeatedly despite board-placement tolerance and fixture variation.

As the field becomes narrower, the allowable positioning error decreases.

If the target package is 20 mm wide and the optical field is only 21 mm, a minor placement shift can crop the region. A more practical production design may intentionally provide several millimetres of margin and sacrifice a small amount of magnification.

For high-volume electronics inspection, repeatability is more valuable than producing the most tightly framed demonstration image.

Encapsulant Thickness Should Be Tested at the Production Extremes

If the SWIR system is imaging through a polymer or molded package, greater thickness can reduce transmission and change image contrast.

An inspection station optimized on the thinnest encapsulated sample can become signal-limited when the maximum approved thickness arrives.

Qualification should therefore include:

minimum package thickness;

nominal thickness;

maximum thickness;

and realistic material-lot variation.

If pigment or filler concentration also varies legitimately, those extremes should be represented too.

The objective is to make sure the hidden target remains detectable across the entire approved package population.

Surface Reflection Can Mask the Hidden Signal

Glossy encapsulants and polished components can produce strong specular reflections. These highlights consume sensor dynamic range without necessarily carrying useful information about the hidden structure.

The first response should be optical.

Modify illumination angle, source size and camera orientation so direct reflections are reduced while useful transmitted or diffusely reflected SWIR reaches the lens.

If the camera saturates on the package surface, increasing image-processing complexity will not recover information that was never recorded.

This is why illumination and lens geometry must be developed together.

Focus Should Be Set on the Actual Inspection Plane

If the target defect lies under a transparent or semi-transparent encapsulation layer, focusing on the top surface may not maximize defect contrast.

The production focus should be established on the layer that contains the feature of interest.

This is particularly relevant where a package contains several depths: external surface, encapsulant boundary, die surface and internal bonding region.

A useful engineering method is to scan focus through the expected range and measure defect-to-background contrast rather than judging sharpness only from the top surface.

The best focus is the one that maximizes the actual inspection signal.

F1.4 Is Useful When Packaging Reduces Available SWIR Signal

Every additional layer in the optical path can reduce the radiation reaching the sensor.

A package may transmit only a fraction of the incident SWIR energy, and narrow-band illumination can further reduce available signal. The F1.4 maximum aperture available across the Kyptec Automation® SWIR range therefore gives OEMs useful exposure margin.

The production lens does not necessarily need to remain fully open.

If components vary in height or the entire package stack must remain within usable focus, a smaller aperture may provide greater depth of field. The correct aperture should be determined by comparing hidden-feature contrast, edge performance and exposure requirement across several settings.

Motion Blur Can Become Critical on Conveyor-Based PCB Inspection

If boards or carriers are imaged while moving, motion during exposure should be quantified.

For example, at a transport speed of 0.8 m/s and exposure of 500 µs:

800 mm/s × 0.0005 s = 0.4 mm movement.

If the target hidden defect is around 0.5 mm, that movement can materially reduce its image contrast.

Reducing exposure to 100 µs lowers motion to 0.08 mm.

This illustrates why optical throughput is important even when the assembly itself is mechanically precise. The exposure requirement should be derived from the smallest feature rather than from whether the overall PCB image appears acceptably sharp.

Material Differentiation Should Use Normalized Spectral Information

A dark region in a SWIR image does not automatically indicate the wrong material.

Intensity can change because of illumination, angle, distance, package thickness or surface reflection.

Where the inspection architecture uses multiple spectral bands, comparing them can provide stronger material discrimination than relying on one absolute grayscale threshold.

A simplified two-band metric might take the form:

Material index = (I₁ − I₂) / (I₁ + I₂)

where (I₁) and (I₂) represent intensity in two selected SWIR bands.

The exact wavelengths and model must come from empirical testing of the real electronics materials. The important engineering principle is that relative spectral behaviour is usually more robust than absolute brightness.

Known-Good and Known-Bad Assemblies Are Essential

A convincing SWIR image is not enough to qualify an electronics inspection machine.

The OEM needs samples containing independently verified:

acceptable encapsulation;

underfill voids;

adhesive omissions;

coating variations;

contamination;

package misalignment;

relevant cracks;

and acceptable material-lot variation.

The same sample should be imaged repeatedly at different positions and orientations.

The purpose is to determine whether the optical system detects the defect itself rather than some incidental difference introduced when the sample was manufactured.

Do Not Use One Threshold for Every PCB or Package Family

Different PCB assemblies can use different laminates, coatings, solder masks, encapsulants, adhesives and packages.

Even if the same defect is being detected, the baseline SWIR response may change substantially.

A scalable OEM platform can reuse the Kyptec Automation® SWIR optical hardware but maintain product-specific inspection recipes where necessary.

This approach is much stronger than assuming a threshold established for one electronic assembly will transfer automatically to another.

SWIR Is Complementary, Not a Replacement for Every Electronics Inspection Method

SWIR imaging is particularly strong when the target quality condition depends on material contrast, silicon transmission or visibility through selected polymeric layers. It is not inherently the best solution for every PCB defect.

Exposed solder-joint geometry, printed characters, ordinary component presence and other surface features may remain easier to inspect with conventional optical methods. Likewise, defects hidden behind opaque metal may require a different inspection principle.

A technically mature OEM uses SWIR where it introduces unique information, rather than replacing working visible inspection simply because SWIR is more specialized.

That application discipline produces better machine performance and clearer purchasing justification.

Build the Optical Acceptance Test Around Contrast Margin

The most useful acceptance metric is not whether the engineer can visually see the defect on a monitor.

Measure how clearly the defective population separates from the good population.

For a selected region, the OEM can track:

mean good-material response;

mean defective-material response;

within-class variation;

position-dependent variation;

and the overlap between distributions.

A strong production configuration maintains sufficient separation after normal variation in package thickness, board position, temperature, illumination and lot is introduced.

This contrast margin is more meaningful than a single high-quality demonstration image.

Why Kyptec Automation® Is a Strong Platform for Electronics and PCB SWIR Inspection

Kyptec Automation® provides a dedicated SWIR Camera Lens range rather than requiring electronics OEMs to adapt ordinary visible lenses to a non-visible application. The current portfolio provides 8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm focal lengths, with live product pages specifying 900–1700 nm wavelength operation, 2 MP resolution, 2/3-inch sensor format, F1.4 and C-Mount. Electronics is explicitly identified among the application areas of the current range.

This breadth is useful because electronics inspection rarely has one universal FOV. A board-level station may need relatively broad coverage. A component inspection cell can move toward 25 mm. A tighter encapsulated-package or hidden-feature station can justify 35 mm or 50 mm.

The Kyptec Automation® SWIR Camera Lens collection therefore gives machine builders a coherent optical family for several electronics-inspection architectures while maintaining a consistent SWIR platform.

Frequently Asked Questions About SWIR Camera Lenses for Electronics and PCB Inspection

1. Can SWIR imaging see through electronic encapsulation?

It can see through selected encapsulants and packaging materials when they transmit sufficient radiation at the chosen SWIR wavelength. Transmission depends strongly on polymer composition, filler, pigment and thickness, so no encapsulant should be assumed transparent without testing. The actual production package should be characterized before the inspection station is designed.

2. Can SWIR detect underfill voids in electronic packages?

SWIR imaging can support inspection of underfill-related defects, including voids and cracks, when the surrounding package structure provides sufficient optical access. Such inspection is used in advanced semiconductor packaging, but detectability depends on defect size, overlying materials, wavelength and viewing geometry. Known-defect samples are essential for qualification.

3. Can a SWIR camera lens inspect an entire PCB through its top surface?

Only the features that produce useful SWIR contrast and are not blocked by opaque materials can be inspected. Metallic structures remain a major limitation, and not every PCB laminate or package is transparent. SWIR should therefore be applied to selected hidden-material or component-inspection tasks rather than described as a universal see-through PCB technology.

4. Can SWIR differentiate adhesives that look identical in visible light?

Potentially yes. Different adhesive chemistries can produce different absorption or reflectance behaviour in SWIR, which can make material boundaries or coverage easier to distinguish than under visible illumination. The specific approved adhesive and likely contaminant or substitute materials should be characterized experimentally before a production classifier is created.

5. Can SWIR inspect conformal coating presence?

Potentially, when the coating and underlying substrate produce sufficiently different spectral behaviour. Thin transparent coatings can generate subtle contrast, so the OEM should test approved minimum and maximum coating thickness as well as deliberately missing regions. The objective should be stable separation between coated and uncoated conditions rather than simply obtaining a visually different image.

6. Can SWIR detect hidden contamination beneath a coating or polymer layer?

It can when the overlying layer transmits enough SWIR radiation and the contaminant produces sufficient optical contrast relative to the surrounding material. Industrial SWIR inspection is used for hidden particles and contamination in selected semiconductor and packaging structures. The minimum contaminant size and maximum overlying thickness should be part of the qualification.

7. Why can a component look different in SWIR even if its visible colour is identical?

SWIR contrast is driven by wavelength-dependent material absorption, transmission and reflection rather than visible colour alone. Two black, grey or transparent-looking materials can therefore produce substantially different SWIR responses if their chemistry differs. This is one of the major reasons SWIR is useful for electronics material differentiation.

8. Can SWIR see through metal shielding or copper tracks?

Generally no. Metals remain highly opaque in the SWIR region, so a defect completely hidden behind a metal structure cannot be revealed simply by using a longer SWIR wavelength. The machine may require another viewing direction, another process stage or another inspection technology for that target.

9. Which focal length is suitable for inspecting a large PCB area?

A shorter focal length is normally the first candidate where broad area coverage is required at limited working distance. The Kyptec Automation® KL-1410 12.5 MM SWIR Camera Lens provides a relatively wide geometry within the current portfolio. The final decision should be based on PCB FOV, sensor dimensions and smallest hidden feature rather than board size alone.

10. When should an OEM use a 25 mm SWIR lens for electronics inspection?

The Kyptec Automation® KL-1412 25 MM SWIR Camera Lens is useful where the system can inspect a smaller PCB or component region and benefits from placing more sensor pixels across the target. It can therefore be a strong option for controlled component inspection, adhesive coverage or encapsulated regions where a wide board-level view would waste sensor resolution.

11. When does a 35 mm or 50 mm SWIR lens become useful?

Longer focal lengths become attractive when the field is comparatively small, greater stand-off is required or a component should occupy a larger portion of the image. The Kyptec Automation® KL-1414 35 MM SWIR Camera Lens and Kyptec Automation® KL-1416 50 MM SWIR Camera Lens provide these tighter geometries within the same 900–1700 nm platform.

12. Does package thickness affect hidden-feature visibility?

Yes. A thicker encapsulant or polymer path can attenuate more SWIR radiation and can reduce hidden-feature contrast. Approved thickness extremes should therefore be tested during qualification. A configuration developed only on the thinnest package may not retain enough signal for thicker production parts.

13. Why does a hidden defect disappear when the package is moved slightly?

Possible causes include non-uniform illumination, surface reflection, focus variation, package curvature or angle-dependent transmission. The same known defect should be imaged at several field positions and orientations during commissioning. If detectability changes strongly with location, the optical setup should be corrected before thresholds are released.

14. Should SWIR replace conventional PCB inspection cameras?

Not automatically. SWIR is most valuable where it provides information conventional imaging cannot obtain, such as selected hidden structures or material differentiation. Visible inspection may remain more efficient for ordinary component presence, printed features and exposed surface defects. A strong electronics machine uses each imaging method where its physical contrast mechanism is appropriate.

15. Can one SWIR setup inspect several different electronic packages?

The optical hardware may be reusable when sensor size, FOV and wavelength requirements are compatible, but each package family should be independently validated. Different encapsulants, coatings, adhesives and thicknesses can change SWIR response significantly. Product-specific inspection recipes are often more reliable than one universal threshold.

16. What is the most important specification for detecting a small under-package defect?

The physical defect size relative to the inspection FOV is critical. The target must occupy enough camera pixels to retain measurable contrast after optical blur and noise. The OEM should specify the smallest critical void, crack or missing-material region and calculate object-side sampling before choosing focal length.

17. How should an OEM validate SWIR inspection of encapsulated electronics?

Use known-good and independently verified defective packages covering the minimum defect size, maximum encapsulant thickness, normal material variation and expected package positioning. Test samples at several field positions, working distances and illumination conditions. Acceptance should be based on measurable good-versus-defect separation rather than whether one demonstration defect is visually obvious.

18. What information should be sent when selecting a SWIR camera lens for electronics inspection?

Provide the camera sensor dimensions, required FOV, working distance, smallest hidden feature, package or coating material, approximate overlying thickness, intended wavelength range, board-position tolerance and whether the target is a void, contamination, adhesive region, coating or material mismatch. These inputs allow focal length and optical geometry to be selected from the real inspection problem.

19. Why is Kyptec Automation® a strong choice for electronics and PCB SWIR inspection?

Kyptec Automation® provides a dedicated SWIR Camera Lens family spanning 8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm focal lengths, with the current live portfolio specified for 900–1700 nm, 2 MP, 2/3-inch format, F1.4 and C-Mount. Electronics is also explicitly included among the published applications of the SWIR range. This gives OEMs a practical way to address broad PCB coverage, controlled component inspection and tighter encapsulation analysis within one focused Kyptec Automation® optical platform.

Conclusion

A SWIR camera lens for electronics and PCB inspection should be selected when the quality-control problem depends on information that ordinary surface imaging cannot deliver. The strongest applications are not simply “PCB inspection with infrared.” They are more specific: distinguishing coatings or adhesives that look similar in visible light, examining selected structures through SWIR-transmitting encapsulants, identifying hidden contamination, assessing underfill or package abnormalities and obtaining material contrast from regions that conventional imaging cannot separate reliably. SWIR is already used in advanced electronics and semiconductor packaging for internal features, underfill-related defects, hidden particles, alignment and material-sensitive inspection.

The engineering challenge is to identify exactly where the useful optical information originates. Encapsulant chemistry and thickness determine whether sufficient radiation reaches a hidden feature. Metals can completely block the optical path. Package reflections can mask weak internal contrast. A wide PCB field can leave a small defect represented by too few pixels, while an excessively tight field can make component-position tolerance impractical. The correct design therefore combines wavelength selection, spectral feasibility, focal length, working distance, object-side sampling, illumination, aperture and production-position tolerance.

The Kyptec Automation® SWIR Camera Lens collection gives electronics OEMs a strong platform for solving those different geometries. The shorter focal-length options can support broader board or multi-component inspection. The Kyptec Automation® KL-1412 25 MM SWIR Camera Lens can serve controlled component regions where stronger sensor utilization is required. The Kyptec Automation® KL-1414 35 MM SWIR Camera Lens and Kyptec Automation® KL-1416 50 MM SWIR Camera Lens provide progressively tighter geometries for localized encapsulated-package and hidden-feature inspection. Across the live portfolio, the common 900–1700 nm, 2 MP, 2/3-inch, F1.4 and C-Mount architecture gives machine builders a coherent specialized lens family rather than forcing each electronics inspection station onto an unrelated optical platform.

For buyers and machine builders, the strongest design rule is to begin with the hidden material interface, not with the PCB dimensions. Define what lies above the target, how thick that material is, what wavelength produces useful transmission or material contrast, how small the defect is and how much board movement the machine permits. Only after those questions are answered should focal length and working distance be finalized. When that process is followed, Kyptec Automation® SWIR Camera Lenses can provide a technically strong optical foundation for electronics inspection systems designed to reveal material differences, encapsulated structures and component-quality information that conventional visible imaging may never expose.