SWIR Camera Lens for Packaging Inspection: Seeing Through Selected Packaging Materials, Fill Verification and Hidden-Content Inspection

Industrial packaging inspection becomes considerably more difficult when the information that determines pass or fail is hidden behind the package rather than printed on its exterior. A conventional visible-light camera can verify labels, printing, cap presence, shape, colour and many surface defects, but it may provide little information about a product concealed by an opaque-looking polymer, the fill distribution inside a container, trapped moisture, a missing product inside a sealed pack or foreign material located behind packaging that blocks visible wavelengths. A SWIR camera lens for packaging inspection creates a different inspection opportunity by transmitting short-wave infrared radiation that can pass through selected packaging materials or produce stronger material contrast than visible light.

This capability does not mean SWIR can see through every package. Packaging transmission depends on polymer chemistry, pigments, fillers, coatings, thickness, multilayer construction and wavelength. Some materials that appear dark or opaque to the human eye can transmit useful SWIR radiation, while other packages remain strongly absorbing. The engineering advantage therefore comes from selecting a useful wavelength window for the actual packaging-and-content combination, then matching the SWIR camera lens, field of view, working distance, spatial sampling and illumination to the production requirement.

The dedicated Kyptec Automation® SWIR Camera Lens collection provides 8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm focal lengths for 900–1700 nm imaging. Current product specifications describe the range around 2 MP resolution, 2/3-inch sensor format, F1.4 aperture and C-Mount. Kyptec Automation® also positions its SWIR optical range for material identification and industrial quality-control applications, making the portfolio a strong platform to evaluate for machine builders developing specialized packaging inspection systems.

Why SWIR Packaging Inspection Is Different From Conventional Package Vision

Traditional packaging machine vision usually examines what is printed, shaped or visibly exposed. SWIR inspection becomes relevant when the machine needs to determine something about material behind the package, product inside the package or the package material itself.

The source of contrast may be transmission through a selected polymer, wavelength-dependent absorption by the packaged product, moisture-related absorption, or a difference between the expected content and an unwanted contaminant. This makes SWIR especially valuable for applications where ordinary appearance inspection cannot answer the production question reliably.

The Kyptec Automation® website already identifies quality inspection of packaged products among broader SWIR applications, while its dedicated SWIR range is designed around 900–1700 nm imaging for applications where visible imaging is insufficient.

For the buyer, the important decision is therefore not simply whether a package looks opaque in visible light. The better question is: does the package transmit enough radiation within the required SWIR band for the hidden product or fill condition to produce usable contrast?

Seeing Through Selected Packaging Materials Requires Spectral Testing

Packaging materials should never be classified simply as “transparent” or “opaque.”

A material can be opaque in visible wavelengths and partially transmissive in SWIR. Another visually transparent film may contain additives or multilayer structures that absorb strongly at particular infrared wavelengths.

The useful quantity is spectral transmission:

T(λ) = I transmitted(λ) / I incident(λ)

where (T) changes with wavelength (λ).

If the package transmits 70% of useful radiation in one SWIR region but only 10% in another, wavelength selection can make the difference between a strong hidden-content image and an unusable one.

The correct OEM procedure is to test final production packaging—including printed layers, adhesives, coatings and real wall thickness—rather than relying on a generic description such as “plastic pouch.”

Multilayer Packaging Can Behave Very Differently From a Single Film

Modern packages frequently combine several layers to achieve mechanical strength, barrier properties, sealability and product protection. Each layer contributes its own absorption and scattering.

A thin individual film may transmit SWIR effectively, while the final laminated structure can attenuate significantly more signal. Printing, metallized layers and dark pigments can reduce transmission further.

This means prototype tests performed on raw film samples can be misleading if the actual production package contains additional layers.

SWIR packaging feasibility should therefore be evaluated using:

the complete laminated structure;

production printing;

real wall thickness;

final seals;

and the same viewing angle expected on the machine.

The final package—not the base polymer—is the relevant optical component.

Metalized Packaging Is a Major Limitation

SWIR should not be described as a universal technology for looking through all sealed packaging.

Metallic layers remain strongly opaque. Foil-backed packages, metallized films and metal containers can block the direct optical path to the product.

If hidden content is completely surrounded by a SWIR-opaque barrier, changing from visible to SWIR does not solve the fundamental transmission problem.

Machine builders should therefore perform a material-transmission feasibility study before committing to a camera station. This prevents a common procurement mistake: choosing the SWIR camera and lens first and discovering later that the production package blocks the required radiation.

Fill Verification Is More Than Measuring a Liquid Level

The phrase SWIR fill level inspection can refer to several different tasks.

One machine may verify whether enough liquid is present in a container. Another may confirm the presence of a powder or granulated material inside a visually opaque polymer package. Another may detect a missing product inside an individual compartment. A fourth may look for uneven filling or air gaps.

These requirements produce different optical signatures.

Liquid fill can create a strong material-dependent absorption boundary. Powder fill may change average transmission. A missing tablet or food piece may appear as a localized high-transmission region where product should normally absorb more strongly.

The inspection specification should therefore define the actual defect: underfill, overfill, empty package, missing piece, uneven fill, wrong material or unwanted inclusion.

Why Water-Containing Products Can Produce Strong SWIR Contrast

Water has important absorption behaviour within the SWIR region, including a strong feature around the 1.4–1.5 μm region. This makes water-rich products potentially distinguishable from dry packaging or background materials when the surrounding package transmits sufficiently at the selected wavelengths.

For packaging inspection, this can support applications such as determining whether a water-containing product is present, identifying wet versus dry regions, checking distribution inside a package or distinguishing a moist product from empty package space.

However, water sensitivity creates a second engineering issue: condensation or moisture on the package itself can also influence the image.

A production model should therefore include acceptable surface condensation, environmental humidity effects and legitimate package moisture variation if these conditions can occur.

Hidden-Content Inspection Should Start With Contrast Through the Complete Stack

A useful SWIR inspection signal must survive every layer between the illumination and the camera.

For transmission imaging, the optical path can be simplified as:

Illumination → package wall → product → second package wall → SWIR lens → sensor

Every layer reduces or modifies the signal.

A highly absorbing product inside a moderately transmitting package can still produce excellent contrast. A weakly absorbing product behind two thick package walls may be far more difficult.

The system should therefore be tested using the complete optical stack at production thickness, not with exposed product followed by a separate package-transmission measurement.

Transmission Geometry Can Be Strong for Hidden Fill Inspection

Where mechanical access permits, placing SWIR illumination behind the package and imaging from the opposite side can provide strong hidden-content contrast.

The package behaves as an optical window, while the content changes the amount of radiation reaching the camera.

Transmission geometry is particularly useful when the difference between filled and empty regions is much larger in transmitted light than in surface reflection.

However, the design requires sufficient space behind the product and a package that transmits usable SWIR radiation through both walls.

Large variation in package orientation or wall thickness can also alter transmission, so mechanical handling should maintain repeatable presentation.

Reflectance Geometry Is Useful When Rear Illumination Is Impossible

Not every packaging machine can place a light source behind the product. In those cases, illumination and camera can operate from the same side.

The system then relies on reflected SWIR radiation and any wavelength-dependent interaction with the package and content.

Reflectance can be easier to integrate mechanically, but hidden-content sensitivity may be lower if the package surface dominates the signal.

The best geometry should therefore be selected experimentally. A package that performs poorly in reflection may work very well in transmission, and the reverse can also occur depending on material construction.

Package Curvature Can Create False Fill Boundaries

Bottles, pouches and thermoformed containers are rarely perfectly flat.

Curved package walls alter optical path length and surface reflection. Near an edge, SWIR radiation may pass through substantially more polymer than at the center. If the classifier uses a simple brightness threshold, this thickness variation can imitate a product-content difference.

A production system should therefore capture known-good packages across the full range of normal shape and inflation.

For highly repeatable containers, position-dependent calibration can compensate for predictable geometry. For flexible pouches, mechanical flattening or controlled presentation may provide a more stable measurement.

Kyptec Automation® KL-1408 for Broad Packaging Conveyor Coverage

Where an OEM needs to monitor a wide conveyor, multiple packs or large pouches from limited camera height, the Kyptec Automation® KL-1408 8.5 MM SWIR Camera Lens provides the broadest focal-length geometry in the current Kyptec Automation® SWIR portfolio. Its live specifications include 8.5 mm focal length, 900–1700 nm operation, 2 MP resolution, 2/3-inch format, F1.4 and C-Mount.

This type of geometry can be useful for large flexible packaging, multiple-lane inspection or wide filling lines where complete package coverage is the first requirement.

The trade-off is spatial sampling. If the inspection target is a very small missing product or contaminant, a broad field can allocate too few pixels to that feature.

Kyptec Automation® KL-1410 for Balancing Package Width and Hidden-Feature Sampling

The Kyptec Automation® KL-1410 12.5 MM SWIR Camera Lens offers a useful compromise where broad packaging coverage remains necessary but the machine needs more sensor representation of individual package regions.

The model is specified for 12.5 mm focal length, 900–1700 nm, F1.4, 2 MP, 2/3-inch format and C-Mount.

For multi-pack fill verification, concealed-content inspection or large-pouch material differentiation, the 12.5 mm geometry can be a practical option when 8.5 mm captures excessive empty conveyor or surrounding machine structure.

Spatial Sampling Determines the Smallest Hidden Item That Can Be Verified

Suppose a 1600-pixel-wide sensor covers a 400 mm packaging field.

Object-side sampling is approximately:

400 mm ÷ 1600 pixels = 0.25 mm/pixel.

A hidden product feature 5 mm wide would span approximately 20 pixels before blur, package scattering and motion are considered.

If the FOV is increased to 800 mm, the same feature occupies only about ten pixels.

This calculation becomes particularly important for compartmented packages, pouches containing multiple pieces or quality-control tasks where one small missing item must be detected reliably.

The lens should therefore be selected from the smallest hidden content condition that changes the pass/fail decision, not simply from overall package dimensions.

Fill-Level Inspection Needs a Defined Tolerance Band

A filling machine normally does not need to know merely whether product exists. It needs to determine whether the fill falls inside an allowable range.

If the acceptable fill height is 82–86 mm, the optical system should distinguish:

below 82 mm;

acceptable range;

above 86 mm.

That requires sufficient vertical spatial sampling around the decision boundary.

If the camera configuration provides 0.5 mm per pixel, a 4 mm acceptance range spans only eight pixels before blur and package variation. If it provides 0.1 mm per pixel, the same tolerance spans 40 pixels and allows much stronger measurement margin.

The required tolerance should therefore influence both focal length and camera positioning.

Kyptec Automation® KL-1412 for Individual-Package Verification

When the inspection station focuses on one package or a smaller group of packages, the Kyptec Automation® KL-1412 25 MM SWIR Camera Lens can provide stronger sensor utilization over the area of interest.

Its current product specifications include 25 mm focal length, 900–1700 nm operation, F1.4, 2 MP, 2/3-inch format and C-Mount.

This geometry can be particularly relevant to hidden-content verification in individual trays, containers or controlled packaging cells where the machine does not need a very wide scene.

Using a tighter optical field can improve the pixel representation of fill boundaries, missing items and localized content variations.

Empty-Package Detection Should Be Designed Separately From Fill Measurement

An empty package can be much easier to identify than a slightly underfilled package.

If product strongly absorbs the chosen SWIR wavelength, the difference between completely empty and properly filled may be very large. Detecting a 3% underfill can be considerably harder because the optical difference is smaller.

For that reason, performance specifications should separate:

empty package detection;

gross underfill;

precision fill measurement;

and localized missing-content inspection.

Each represents a different contrast requirement and should have its own validation samples.

Hidden Product Count Can Be Possible When Individual Objects Remain Spatially Separable

If a package contains several discrete items and the packaging transmits enough SWIR radiation, individual objects can potentially appear as separate regions.

This creates the possibility of verifying whether one product is missing from a sealed package.

The limiting factor is often spatial separation rather than spectral discrimination.

If products overlap heavily, the system may confirm total material presence but not count individual objects reliably.

Packaging design, product orientation and the number of objects should therefore be considered together when specifying the inspection.

Product-to-Package Contrast Matters More Than Package Transparency Alone

A package does not need to be perfectly transparent in SWIR.

It only needs to transmit enough information for the product condition to remain distinguishable.

If package transmission is 30% but the product causes a large additional reduction, the resulting image may still provide excellent classification contrast.

Conversely, a package with high SWIR transmission can still be difficult if the expected and defective contents respond almost identically.

The engineering figure of merit is therefore defect-to-good contrast after transmission through the package, not package transmission percentage by itself.

Printing and Labels Can Interfere With Hidden-Content Inspection

Printed graphics, labels, adhesives and inks can modify SWIR transmission.

A prototype tested through an unprinted part of the package may therefore perform differently when a logo, barcode area or label passes through the inspection zone.

One strong machine-design strategy is to define a fixed SWIR inspection window on the package where printed layers are absent or tightly controlled.

If this is impossible, the production dataset should include every normal print variation expected within the region of interest.

Package Seams Require Special Treatment

Heat seals, folds and overlapping polymer layers create more material thickness than the rest of the package.

These regions often appear darker in transmission simply because more package material lies in the optical path.

If the inspection target is close to a seam, the classifier may confuse normal seal attenuation with missing or abnormal content.

The seam should therefore either be excluded from the measurement region or modeled as a known package feature.

This issue is particularly important for flexible pouches where the sealed border can occupy a significant fraction of the image.

Kyptec Automation® KL-1414 for Tighter Fill and Compartment Inspection

For narrower fields where one container, compartment or hidden product region should occupy a larger share of the sensor, the Kyptec Automation® KL-1414 35 MM SWIR Camera Lens provides a tighter geometry. Its live specifications include 35 mm focal length, F1.4 aperture, 2 MP resolution class, 2/3-inch format, C-Mount and 900–1700 nm wavelength operation.

This focal length can be useful to evaluate for precision fill boundaries, small sealed compartments or secondary quality-control stations where inspection detail matters more than maximum conveyor coverage.

SWIR Inspection Can Verify Package Material as Well as Package Content

The package itself can also become the inspection target.

Different polymer constructions can produce different SWIR responses even when they appear identical visually. This can support incoming-material verification, wrong-film detection or process checks where a particular package material must be present.

This should remain a separate classifier from hidden-content inspection.

A wrong polymer film and a missing product are different failure modes and should have independent acceptance limits, even if both are detected by the same SWIR imaging station.

Package Thickness Variation Must Be Included in Calibration

Even when polymer chemistry is unchanged, wall thickness can alter SWIR intensity.

A package at the maximum allowed thickness can transmit less radiation than one at minimum thickness. If the classification threshold is developed only from nominal samples, acceptable thick-wall packs could be rejected.

A robust qualification set should therefore contain the approved package thickness extremes.

The machine should reject content defects, not ordinary package-manufacturing tolerance.

High-Speed Packaging Lines Require Exposure-Based Motion Calculations

At 1.5 m/s conveyor speed and 400 µs exposure, a package moves:

1500 mm/s × 0.0004 s = 0.6 mm

during image acquisition.

If the hidden feature being inspected is 2 mm wide, 0.6 mm of motion is significant.

Reducing exposure to 100 µs cuts movement to 0.15 mm.

The F1.4 maximum aperture available across the Kyptec Automation® SWIR range provides valuable light-collection headroom for these shorter exposures.

The correct production aperture still depends on depth of field, package height variation and illumination strength.

Trigger Position Must Match the Optical Inspection Window

Packaging inspection is frequently linked to a downstream rejection mechanism.

If the inspected package is moving, the machine must maintain reliable identity between the SWIR image and the physical package arriving at the reject station.

For camera-to-ejector distance (D) and conveyor speed (V):

Reject delay ≈ D / V

At 1.5 m distance and 1.5 m/s line speed, nominal travel time is one second.

Variable conveyor speed, spacing changes and slip can affect this relationship.

SWIR inspection should therefore be integrated with the machine's product tracking rather than treated as an independent camera that simply generates pass/fail images.

Kyptec Automation® KL-1416 Can Support Narrow Hidden-Content Stations

The Kyptec Automation® KL-1416 50 MM SWIR Camera Lens provides the longest focal length in the current Kyptec Automation® range. The live model is specified for 50 mm, 900–1700 nm, F1.4, 2 MP, 2/3-inch format and C-Mount.

A 50 mm configuration can be useful when the hidden inspection area is comparatively small, greater camera stand-off is necessary or a single package region needs to occupy a substantial portion of the image.

It should not be selected merely because higher focal length sounds more precise. The resulting FOV must still accommodate normal package-position and size variation.

Production Validation Should Include the Hardest Packaging Conditions

A prototype should not be qualified only using perfectly centered, nominally filled packages.

The validation set should include minimum and maximum package thickness, product-position variation, printed areas, seals, wrinkles, different approved packaging lots, underfill and overfill conditions, empty packages, deliberately missing contents and the smallest defect that should trigger rejection.

The hardest acceptable package and the easiest-to-miss defective package determine the real system margin.

This is considerably more valuable than demonstrating a dramatic SWIR image using one ideal sample.

Why Kyptec Automation® Is a Strong SWIR Optical Platform for Packaging OEMs

The Kyptec Automation® SWIR Camera Lens collection provides five focal lengths within one dedicated SWIR optical family. Current live products span 8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm while maintaining 900–1700 nm operation, 2 MP resolution class, 2/3-inch format, F1.4 and C-Mount.

This is particularly useful for packaging machine builders because different stages of one production line may need very different optical fields. Wide models can support multi-lane packaging inspection, intermediate focal lengths can concentrate on individual packs, and longer focal lengths can address localized fill or hidden-content stations. Kyptec Automation® therefore offers a focused and flexible platform for OEMs developing packaging inspection machines that need to go beyond ordinary visible-surface inspection.

Frequently Asked Questions About SWIR Camera Lenses for Packaging Inspection

1. Can a SWIR camera see through opaque plastic packaging?

It can see through selected packaging materials that transmit sufficient SWIR radiation even if they appear opaque in visible light. The result depends on polymer chemistry, pigments, fillers, thickness and wavelength. The production package must therefore be tested directly; visible opacity alone cannot predict SWIR transparency.

2. Can SWIR see through every type of plastic package?

No. Different polymers and additives have different SWIR absorption characteristics. Multilayer, heavily pigmented or highly filled packaging can attenuate much more radiation than a simple polymer film. Final-package transmission testing should be completed before selecting the inspection geometry.

3. Can SWIR see through foil or metallized packaging?

Generally not through an opaque metallic layer. Metal strongly blocks the direct optical path, so SWIR should not be expected to reveal content completely enclosed behind foil or metallization. Another package window or another inspection principle may be required.

4. Can SWIR detect whether a sealed package is empty?

Yes, this can be a strong application when the package transmits SWIR and the intended product absorbs or reflects differently from the empty interior. Empty-package detection is normally easier than precise fill-level measurement because the difference between empty and full can be relatively large.

5. Can SWIR verify fill level inside a package that visible cameras cannot see through?

Potentially yes. If the package transmits useful SWIR wavelengths and the content creates sufficient optical contrast, the boundary between filled and unfilled regions can become measurable. The system should be calibrated using acceptable minimum and maximum fill levels rather than only comparing completely full and empty packs.

6. Can a SWIR system detect one missing item inside a sealed multi-product pack?

It can when the package is sufficiently transmissive and the individual items remain spatially distinguishable. The required FOV must provide enough pixels across each hidden item. If products heavily overlap, presence may still be detectable while exact counting becomes much more difficult.

7. Does darker visible packaging always block more SWIR light?

No. Visible colour and SWIR transmission are not equivalent. A visually dark package can sometimes transmit useful SWIR radiation, while a visually clear material can contain additives with strong infrared absorption. The package should be evaluated spectrally rather than judged from appearance.

8. Why does the same product appear different near the edge of a curved package?

Curvature changes surface reflection and the optical path through the package wall. Radiation may pass through more polymer near an edge than at the center, lowering transmitted intensity even though the product is identical. Mechanical presentation or position-dependent calibration may therefore be necessary.

9. Is transmission or reflection better for hidden-content packaging inspection?

Neither is universally better. Transmission can produce very strong content contrast when illumination can be placed behind a SWIR-transmitting package. Reflection is easier to integrate in some machines but can be dominated by the package surface. Both geometries should be tested with production samples before the system layout is finalized.

10. Can printed labels interfere with SWIR hidden-content inspection?

Yes. Inks, labels and adhesives can alter SWIR transmission or reflection. Where possible, a dedicated unprinted inspection window should be used. Otherwise, the classifier should include the expected printing and label variation so normal artwork does not trigger false rejection.

11. Which SWIR focal length is suitable for a wide packaging conveyor?

For broad fields at limited working distance, a shorter focal length is normally the first candidate. The Kyptec Automation® KL-1408 8.5 MM SWIR Camera Lens offers the widest geometry in the current Kyptec Automation® range. The final decision should still be based on conveyor width and smallest hidden feature rather than width alone.

12. When is a 25 mm SWIR lens useful for packaging inspection?

The Kyptec Automation® KL-1412 25 MM SWIR Camera Lens is useful when the machine is inspecting an individual package or smaller field and requires stronger pixel representation of a fill boundary, hidden compartment or internal product. It provides a useful intermediate geometry between wide conveyor coverage and highly localized inspection.

13. Does thicker packaging reduce hidden-content visibility?

It can. Increasing material thickness generally increases the optical path and can reduce transmitted SWIR signal. The maximum approved production thickness should therefore be included in qualification so the machine does not work only on thin prototype packages.

14. Can condensation on a package affect SWIR inspection?

Yes. Because water has strong SWIR absorption behaviour, condensation or moisture on a package can alter the image. If condensation is a legitimate production condition, it should be represented in the good-sample library so it does not become a false hidden-content defect.

15. Can SWIR distinguish the wrong packaging film from the approved film?

Potentially yes when the two materials have sufficiently different SWIR spectral responses. This can support package-material verification in addition to hidden-content inspection. The classification should be developed using independently identified approved and incorrect films rather than relying on visual similarity.

16. Why can a package pass when stationary but fail during high-speed production?

Motion blur, vibration, trigger timing and lower exposure can all reduce hidden-feature contrast. Production validation should therefore occur at maximum specified line speed. The F1.4 optical capability across the Kyptec Automation® SWIR range provides useful exposure flexibility for high-speed inspection.

17. How much field-of-view margin should be allowed around a package?

The field should accommodate normal lateral and vertical placement variation, package-size tolerance and any movement caused by conveyor handling. A tightly cropped laboratory image may maximize pixels on the package but become unreliable in production if normal position variation pushes the inspection region outside the frame.

18. What should an OEM test before buying a SWIR lens for hidden packaging inspection?

Test the complete production package at the intended SWIR wavelengths with known-good and known-bad contents. Measure whether sufficient contrast remains through maximum package thickness, printing, seams and normal package variation. Then define FOV, working distance, smallest hidden defect, line speed and acceptable fill tolerance before selecting focal length.

19. Why is Kyptec Automation® a strong option for SWIR packaging inspection?

Kyptec Automation® provides a dedicated SWIR Camera Lens portfolio covering 8.5 mm, 12.5 mm, 25 mm, 35 mm and 50 mm focal lengths within a consistent 900–1700 nm, 2 MP, 2/3-inch, F1.4 and C-Mount architecture. That range lets packaging OEMs choose broad conveyor coverage, individual-pack inspection or tighter hidden-content geometry without moving outside the same specialized optical family.

Conclusion

A SWIR camera lens for packaging inspection is most valuable when the production decision lies beneath a packaging layer rather than on its visible surface. Selected polymer materials can provide useful SWIR transmission even when the package is difficult or impossible to inspect conventionally, creating opportunities for hidden-content inspection, sealed-package verification, underfill and overfill detection, missing-product inspection, package material differentiation and other beyond-visible quality-control tasks. Kyptec Automation® already positions its SWIR optical range for material identification and industrial inspection applications where ordinary visible imaging is insufficient.

The engineering requirement, however, is to test the complete package-content system rather than rely on a generic expectation that infrared can see through plastic. Polymer chemistry, pigment, printing, multilayer construction, package thickness, seams, curvature and moisture can all alter the signal. Metallized barriers can block it entirely. The useful performance measure is therefore the contrast between acceptable and defective contents after the SWIR radiation has travelled through the actual production packaging.

Lens selection should then follow the real inspection geometry. The Kyptec Automation® KL-1408 8.5 MM SWIR Camera Lens can support broad packaging fields, while the Kyptec Automation® KL-1410 12.5 MM SWIR Camera Lens offers a useful balance between coverage and hidden-feature sampling. For individual packages or smaller regions, the Kyptec Automation® KL-1412 25 MM SWIR Camera Lens can allocate more sensor area to fill boundaries or concealed contents, while the longer-focal-length options can support still tighter inspection cells. The common 900–1700 nm, F1.4, 2 MP, 2/3-inch and C-Mount architecture makes the Kyptec Automation® range particularly useful for OEMs building several packaging machine configurations around one focused SWIR lens platform.

For packaging-machine builders and buyers, the strongest selection principle is to prove package transmission and defect contrast first, then calculate focal length. Define the package material, thickness and construction; identify whether the target is fill level, missing content, wrong material or hidden contamination; determine the smallest condition that must be rejected; and test it at production speed through the final package. Once those variables are known, Kyptec Automation® SWIR Camera Lenses can provide a strong optical foundation for packaging inspection systems designed to obtain information that conventional surface inspection cannot reliably access.