Machine Vision Lens for Pharmaceutical Blister Pack Inspection: How to Detect Missing Tablets, Damaged Cavities, Position Errors and Seal Edge Defects

Pharmaceutical blister pack inspection is a demanding machine vision application because one relatively compact package can contain many repeated cavities, small tablets or capsules, narrow sealing boundaries and precisely positioned features that must all be checked within a short production cycle. A vision system may need to detect a missing tablet, verify that every cavity is occupied, identify a tablet positioned incorrectly inside a pocket, detect visibly damaged or deformed cavities, inspect the perimeter of the sealed region and confirm that the complete blister profile remains within an expected geometric condition. Selecting the right machine vision lens for pharmaceutical blister pack inspection therefore depends not only on the overall blister dimensions but also on how many usable image pixels are allocated to each individual cavity and to the smallest rejectable feature.

Buyers searching for machine vision lens for blister pack inspection, pharmaceutical tablet inspection camera lens, missing tablet detection machine vision, blister cavity inspection camera, capsule presence inspection system, blister seal inspection machine vision or industrial camera lens for pharmaceutical packaging inspection are generally trying to balance two opposing requirements. The complete blister pack must often remain inside one image for high-throughput inspection, yet every tablet, cavity and seal boundary still needs enough spatial resolution for reliable classification. A field of view that is unnecessarily wide can make a ten- or twenty-cavity blister easy to frame while reducing the pixel density available to each individual pocket.

Kyptec Automation® provides a broad Machine Vision Lens portfolio covering multiple focal lengths and conventional 5 MP, 10 MP and 25 MP resolution classes. The current collection includes lenses for 2/3", 1" and larger-format camera systems, with focal-length options extending from wider fields to tighter inspection views. This breadth is useful for pharmaceutical blister inspection because systems can be designed around whole-pack coverage, multiple cavity rows or localized high-detail inspection rather than forcing one focal length onto every package format.

Start With the Smallest Blister Defect That Must Be Rejected

A missing tablet is not optically equivalent to a slightly displaced tablet, and neither is equivalent to a small seal-edge defect.

A completely empty cavity creates a large change compared with a correctly filled pocket. A tablet shifted slightly inside the cavity may produce a much smaller positional difference. A damaged cavity edge or narrow sealing defect can be smaller still.

The Machine Vision Lens should therefore be selected around the smallest and most difficult required inspection feature, not the easiest missing-tablet example.

This distinction prevents an inspection station from appearing successful during initial commissioning while still lacking adequate resolution for the defects that matter most in production.

Whole-Blister FOV Determines the Pixels Available per Cavity

A blister containing several tablets distributes the available camera pixels across all cavities.

If a 4,000-pixel-wide sensor captures a blister that is 100 mm wide, the simplified image scale is approximately 40 pixels/mm.

If the same camera is configured to capture a 200 mm-wide scene because additional conveyor area is included, sampling falls to approximately 20 pixels/mm.

That reduction applies to every tablet, cavity edge and sealing feature.

For pharmaceutical blister pack machine vision, FOV should therefore be kept close to the actual package dimensions plus legitimate positioning tolerance.

Cavity Count Matters as Much as Overall Package Size

Two blister packs can have similar outside dimensions but very different inspection requirements.

A pack containing six large tablets gives each cavity a relatively large share of the image. A pack containing twenty or thirty small tablets distributes the same sensor resolution across many more features.

For dense blister layouts, individual cavity dimensions, pitch and tablet size become critical lens-selection inputs.

The complete pack may appear perfectly sharp on a monitor while each tablet still receives insufficient pixels for detailed position or edge analysis.

Missing Tablet Detection Is Usually a Large-Feature Inspection

Missing tablet detection generally asks whether an expected cavity contains the required product.

Because the difference between a filled and empty cavity can be substantial, this inspection is often less resolution-sensitive than small position or edge measurements.

However, even this task benefits from efficient optical framing when the blister contains many small cavities.

A cavity should occupy enough sensor area that internal package structures do not dominate the image representation of the tablet or capsule.

Tablet Position Inspection Needs More Spatial Detail

A tablet can be present but sit too far from the expected cavity center.

The inspection can compare the detected tablet center or visible boundary with the expected cavity position.

The smallest permitted displacement determines how much image scale is required.

For example, a system designed only to detect tablet presence may perform reliably while missing a small positional error because the displacement corresponds to too few sensor pixels.

A machine vision lens for tablet position inspection should therefore be selected from positional tolerance rather than presence alone.

Cavity Pitch Provides an Important Optical Reference

Blister cavities are usually arranged in a repeatable row or matrix pattern.

The distance between cavity centers can provide useful reference geometry for checking missing products, misplaced tablets or package deformation.

When several rows span most of the sensor, the Machine Vision Lens should preserve sufficient image detail across the complete field so cavity positions remain consistent from one side of the blister to the other.

Qualification should include outer cavities rather than only the centrally located pockets.

A 16 MM 10 MP Lens Can Support Broader Blister Coverage

For compatible 2/3" camera systems, the Kyptec Automation® KL-1226 16 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a 16 mm option within the current 10 MP Machine Vision Lens family. The official Kyptec Automation® page confirms this focal-length and resolution combination as part of its 2/3" conventional lens range.

This type of configuration can be evaluated where the complete blister or several cavity rows must fit inside the image while retaining useful sampling on individual pockets. Final suitability should be determined from actual sensor dimensions, package width, working distance and minimum defect size.

A 25 MM 10 MP Lens Can Provide Tighter Cavity Framing

Where the blister pack or inspection region does not require such a broad field, the Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a more controlled 25 mm focal-length option for compatible 2/3" systems. Kyptec Automation® positions this lens family for high-resolution industrial imaging and inspection.

A tighter physical FOV can allocate more pixels to each tablet and cavity, which is useful when positional variation or local package damage is more demanding than simple whole-pack presence inspection.

Damaged Cavity Inspection Requires Local Boundary Detail

A blister cavity can be present but locally deformed, collapsed, cracked or visibly irregular.

These defects may affect only a small portion of the cavity perimeter.

The Machine Vision Lens should therefore preserve enough spatial detail around the complete cavity boundary for localized shape differences to remain measurable.

A broad package image that is adequate for counting tablets may not automatically provide enough detail for subtle cavity deformation.

Cavity Shape Should Be Compared Across Equivalent Positions

When a blister contains repeated pockets of nominally identical geometry, each cavity provides a useful comparison with neighboring cavities.

The vision system can evaluate whether one pocket differs significantly in outline or position from the expected pattern.

This approach depends on consistent image quality across the entire blister.

If outer cavities are substantially less well resolved than central cavities, normal lens-field variation can become confused with package variation.

Seal Edge Inspection Is a Narrow-Boundary Problem

The sealing region around blister cavities can be narrow compared with the complete package.

If inspection needs to identify irregular edges, displacement or missing sections along a seal boundary, the smallest permitted deviation should be converted into pixels at the final FOV.

Whole-package visibility alone is not enough.

A narrow sealing feature can occupy only a few sensor pixels when the blister is surrounded by large unused image margins.

For blister seal edge inspection, sensor utilization should therefore be as efficient as practical.

Outer Seal Perimeter and Internal Cavity Seals Are Different Scales

A blister package may contain a broad outer perimeter as well as narrower local boundaries around individual pockets.

The outer perimeter is relatively easy to capture, while small local seal-edge irregularities can be considerably more demanding.

The inspection specification should explicitly identify which boundary determines rejection.

This helps prevent selection of a Machine Vision Lens based on the easiest outer profile while overlooking the smaller internal sealing structures.

High-Resolution Larger-Format Lenses Can Help Dense Blister Arrays

When the complete package must remain visible and contains many small tablets or cavities, reducing FOV may not be possible.

A higher-resolution camera-lens architecture can provide more total spatial samples across the same required area.

For compatible larger-format systems, the Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 16 mm focal-length option in Kyptec Automation®'s current 25 MP Machine Vision Lens family.

This configuration can be evaluated where wider blister coverage and high total image resolution need to coexist.

A 25 MM 25 MP Lens Can Balance Whole-Pack Coverage and Pocket Detail

For compatible larger-format systems requiring more controlled framing, the Kyptec Automation® KL-1240 25 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 25 mm focal-length option in the current 25 MP family.

This type of optical configuration can be useful when a complete blister still needs to remain in view while individual tablet edges, cavity positions and narrow seal features require more spatial sampling.

The benefit of higher resolution is strongest when the field remains limited to the actual package rather than being expanded to include unnecessary machine background.

More Megapixels Should Improve Pocket Sampling, Not Waste FOV

Increasing optical and sensor resolution is most useful when the additional pixels are placed on the pharmaceutical package.

If a higher-resolution system is then configured with a proportionally larger physical FOV, the number of pixels per tablet may improve very little.

The stronger approach is to define the minimum legitimate blister FOV first and then use higher resolution to increase the information available within that field.

This is especially valuable for dense multi-cavity blister designs.

Blister Pack Position Variation Consumes Resolution

If the package moves significantly across a conveyor, the FOV must be expanded to ensure that all required edges and cavities remain visible.

Every added millimetre of margin reduces pixels/mm.

Mechanical positioning therefore has a direct relationship with optical inspection performance.

Better guidance or repeatable package presentation can permit tighter framing and consequently give the Machine Vision Lens more effective resolution on each cavity.

Rotated Blisters Require Extra Image Margin

A rectangular blister pack that rotates slightly occupies more horizontal and vertical field than the same package aligned consistently with the sensor.

If rotation is uncontrolled, additional FOV may be necessary to prevent corners from leaving the image.

That extra field reduces object sampling.

Where high-resolution cavity inspection is required, controlling package orientation can therefore improve the optical design without changing the camera or lens.

Tablet Size and Cavity Size Should Be Treated Separately

The tablet may occupy only part of the cavity.

A system inspecting tablet presence can focus on the product region, while a system checking tablet centering needs both the tablet and the cavity reference.

The Machine Vision Lens should provide adequate detail on both.

A large cavity does not guarantee that a much smaller tablet inside it receives sufficient pixels for position or edge analysis.

Tablets and Capsules Create Different Visible Geometries

Round tablets, oblong tablets and capsules occupy different shapes inside their cavities.

The lens-selection geometry should therefore be based on the smallest relevant product dimension rather than overall cavity size alone.

For an elongated capsule, lateral position and angular orientation can each matter.

For a circular tablet, center displacement may be the more important geometric parameter.

The optical requirement should follow the actual product being inspected.

Broken or Chipped Tablet Detection Needs More Resolution Than Presence

A tablet can be present but damaged.

If the required inspection includes visibly missing material along its boundary, the smallest chip becomes an important optical specification.

This can be much smaller than the tablet itself.

A system that successfully counts every tablet may therefore still require tighter framing or higher resolution to detect minor boundary damage.

A 35 MM 1-Inch Lens Can Support More Localized Inspection From Greater Stand-Off

For compatible 1" camera systems where additional stand-off and tighter framing are useful, the Kyptec Automation® KL-1218 35 MM Machine Vision Lens With 10 MegaPixel & 1" Format Lens provides a 35 mm, 10 MP configuration within the Kyptec Automation® Machine Vision Lens portfolio.

This focal-length class can be evaluated when the inspection is concentrated on a smaller group of blister cavities or a critical seal region and the camera cannot be positioned close to the product.

A 50 MM 25 MP Lens Can Support High-Detail Local Cavity Inspection

Where a small group of cavities or one critical blister region requires maximum image scale and sufficient working distance is available, the Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a longer focal-length option in the current high-resolution larger-format family.

This type of lens can be evaluated when localized cavity shape, tablet positioning or seal-edge inspection is more important than whole-blister coverage.

Blister Surface Height Can Affect Focus

A blister pack is not perfectly flat.

The base web, raised cavity domes, tablets and sealing areas can occupy different object heights.

If the inspection requires features on several planes, the Machine Vision Lens must provide enough usable depth tolerance for all critical regions to remain sufficiently resolved.

Focus should therefore not be optimized only on the easiest broad flat surface.

Aperture Should Be Set Using the Smallest Real Feature

Stopping down the aperture can increase depth-of-field tolerance across raised blister cavities.

However, excessively small apertures can reduce fine detail through diffraction.

The correct aperture should therefore be established by testing the smallest cavity edge, tablet-position variation or seal defect across the expected package-height range.

The goal is not maximum depth of field at any cost; it is reliable defect resolution throughout the required inspection volume.

Foil Appearance Can Affect Boundary Visibility

Blister packages can contain surfaces that appear very different depending on the material and inspection geometry.

The Machine Vision Lens should therefore be qualified on real production packs representing the expected appearance range.

A lens cannot create a useful boundary if the selected viewing condition produces almost no visible difference between adjacent regions.

The optical system should first provide the correct spatial sampling and then be validated using actual packaging materials and minimum defects.

Transparent Cavities Can Introduce Multiple Visible Boundaries

Some blister formats include clear formed pockets through which the pharmaceutical product is visible.

These can show multiple interfaces and apparent edges within one cavity.

The lens should still be chosen from FOV and required spatial resolution, but the actual product plane and cavity boundary used by the inspection algorithm must be defined clearly.

Otherwise, apparent positional differences can arise from viewing different optical surfaces rather than from a real tablet displacement.

Multi-Row Blisters Should Be Checked Across the Complete Sensor

In a package with several cavity rows, pockets near the image corners can be just as important as those at the center.

Minimum tablet displacement, cavity damage and seal-edge defects should therefore be tested at central and outer cavity positions.

The Machine Vision Lens should be approved based on the complete usable blister field rather than a single central pocket.

Different Blister Formats Need Separate Pixel-Scale Checks

A packaging machine may run several blister sizes using one camera station.

The largest format can determine the required FOV, while a smaller format may occupy much less sensor area.

If the smaller package contains tiny tablets or tighter cavity pitch, it can actually be more demanding despite its smaller physical dimensions.

Each format should therefore be evaluated independently for tablet pixels, cavity pixels and seal-boundary resolution.

Multiple Blister Packs in One Image Create a Throughput Trade-Off

Some inspection machines may attempt to capture more than one blister at once.

This can reduce the number of images required per cycle, but the field becomes larger and each pack receives fewer pixels.

The smallest tablet, cavity defect or seal deviation should be calculated against the full multi-pack FOV.

If each cavity becomes too small in the image, a higher-resolution optical system or fewer packs per image may provide more reliable inspection.

Digital Zoom Cannot Recover Missing Tablet Detail

Software enlargement makes an image easier to view but does not create additional optical information.

If a small tablet chip occupies only three physical sensor pixels, enlarging it on a screen does not provide the detail that would have been captured if the feature originally occupied twelve pixels.

The correct solution is tighter optical framing, more suitable focal length, higher physical image resolution or a better matched Machine Vision Lens configuration.

Production Qualification Should Use Real Limit Samples

A fully empty cavity is useful for initial missing-tablet setup, but it does not qualify a system for every required pharmaceutical packaging defect.

Final testing should include the smallest tablet displacement, least obvious cavity deformation, minimum visible tablet damage and smallest seal-edge variation required to trigger rejection.

These defects should be tested in different cavity rows and across valid package positions.

That provides a much stronger basis for selecting and approving the Machine Vision Lens.

Why Kyptec Automation® Is a Practical Choice for Pharmaceutical Blister Pack Inspection

Kyptec Automation® provides a broad Machine Vision Lens collection spanning 5 MP, 10 MP and 25 MP conventional lens classes and multiple focal lengths for several industrial camera formats. The current portfolio includes 8 mm, 12 mm, 16 mm, 25 mm, 35 mm and 50 mm choices across different resolution and format families, giving system integrators practical flexibility for both wider blister coverage and tighter high-detail inspection.

For compatible 2/3" systems, Kyptec Automation® KL-1226 16 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens can support broader blister coverage, while Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides more controlled framing where individual cavities need greater sensor utilization.

For compatible larger-format, higher-resolution systems, Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens can be evaluated where a wider package field and high total resolution need to coexist, while Kyptec Automation® KL-1240 25 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides tighter high-resolution framing. Where localized cavity or seal inspection requires greater stand-off and image scale, Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a longer focal-length alternative.

This range allows Kyptec Automation® Machine Vision Lens selection to be based on actual blister dimensions, cavity count, tablet size, defect tolerance, sensor format and machine geometry rather than using one general-purpose focal length for every pharmaceutical packaging application.

Frequently Asked Questions About Machine Vision Lenses for Pharmaceutical Blister Pack Inspection

1. What is the best Machine Vision Lens for pharmaceutical blister pack inspection?

The correct lens depends on blister dimensions, number of cavities, tablet or capsule size, smallest positional or seal defect, camera sensor format and available working distance. Whole-pack inspection typically requires enough FOV for every cavity plus positioning tolerance, while a localized inspection can use tighter framing. Kyptec Automation® provides multiple focal lengths across 10 MP and 25 MP Machine Vision Lens families, making it practical to match the optical field to actual blister geometry rather than selecting by megapixels alone.

2. How much resolution is needed to detect a missing tablet in a blister pack?

Missing-tablet detection is usually a relatively large-feature task, but the required resolution still depends on tablet size and how many cavities share the image. A small tablet inside a dense multi-pocket pack can occupy relatively few pixels. Calculate pixels/mm from the final FOV and verify that each product region has enough image detail to separate a filled cavity from an empty one under actual production conditions.

3. Can the same camera detect both missing and misplaced tablets?

Yes, provided the optical system satisfies the more demanding position-inspection requirement. A tablet can be present yet displaced slightly inside the cavity, so presence detection alone is insufficient. The Machine Vision Lens should provide enough pixels across the tablet and cavity reference for the minimum permitted positional shift to produce a repeatable measurable difference.

4. How can machine vision check tablet position inside each blister cavity?

The system can locate the visible tablet center or boundaries and compare them with the expected cavity center or package grid. Reliable measurement depends on adequate pixels/mm and stable blister orientation. The lens must therefore include enough cavity geometry to provide a positional reference while still giving the tablet itself sufficient image scale.

5. Is a 16 mm Machine Vision Lens suitable for blister pack inspection?

It can be when the resulting physical FOV matches the package size. For compatible 2/3" systems, Kyptec Automation® KL-1226 16 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a 16 mm option within the 10 MP conventional range. It can be evaluated when multiple cavities or a complete blister need broader coverage, subject to the required pixels per tablet.

6. When should I use a 25 mm lens instead of a wider lens for blister inspection?

A 25 mm focal length can be useful when the blister or selected inspection region fits within a more controlled field and additional sampling per cavity is valuable. Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens is part of Kyptec Automation®'s current 10 MP 2/3" range. Final selection should be made from working distance and actual package dimensions.

7. Can machine vision detect a damaged blister cavity?

Yes, when the damage creates a visible change in cavity profile or boundary and receives sufficient image sampling. Local cavity damage may be much smaller than the cavity itself, so qualification should use minimum rejectable deformation rather than a severely damaged pocket. Outer-row cavities should also be tested because the entire blister field must perform consistently.

8. How does cavity count affect Machine Vision Lens selection?

More cavities generally mean that the same sensor resolution is distributed among more individual inspection regions. A 20-pocket blister therefore gives each cavity fewer pixels than a similarly sized pack containing only six pockets, all else being equal. Dense cavity arrays can justify tighter FOV or a higher-resolution compatible Machine Vision Lens.

9. When should a 25 MP Machine Vision Lens be considered for blister inspection?

A 25 MP configuration becomes particularly useful when the complete blister must remain visible but contains many small tablets, capsules or narrow seal features. Kyptec Automation®'s current Machine Vision Lens collection includes several 25 MP focal lengths for compatible larger-format systems, allowing higher total resolution to be combined with different FOV requirements.

10. Which Kyptec Automation® lens can be considered for broader high-resolution blister inspection?

For compatible larger-format systems, Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 16 mm option within the current 25 MP family. It can be evaluated when whole-pack or multi-row coverage is required while retaining high total optical resolution.

11. Which high-resolution lens can provide more controlled framing of individual blister cavities?

For compatible larger-format systems, Kyptec Automation® KL-1240 25 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 25 mm option within Kyptec Automation®'s 25 MP Machine Vision Lens range. It can be considered where tighter framing is preferred while high resolution is needed for individual pockets and seal boundaries.

12. Can a 50 mm Machine Vision Lens be used for localized blister-cavity inspection?

Yes, when only a smaller blister region requires inspection and sufficient camera stand-off is available. Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a longer focal-length high-resolution option for compatible systems. Tighter framing can allocate more sensor pixels to a particular cavity group or seal edge.

13. Why can a system detect an empty cavity but miss a damaged tablet?

A completely empty cavity creates a large visual difference, while a small chip on an otherwise present tablet may alter only a tiny portion of the product boundary. Damaged-tablet inspection therefore needs greater spatial detail. Lens selection should be driven by the smallest product damage that must be detected if that task is part of the inspection specification.

14. Can one vision system inspect different blister pack sizes?

Yes, but each format should be evaluated independently. A large blister may determine the camera's physical FOV, while a smaller blister may contain smaller tablets or tighter cavity spacing. The number of pixels available per product and cavity can therefore differ significantly between package formats even when the same lens is used.

15. Why should outer blister cavities be tested separately from center cavities?

Outer cavities can occupy image regions farther from the optical center, and the complete production inspection must perform reliably wherever a valid cavity appears. Qualification using only central pockets does not demonstrate performance across the full package. Minimum tablet-position errors, cavity damage and seal defects should therefore be tested across several blister locations.

16. What information should I provide before buying a Machine Vision Lens for blister pack inspection?

Provide blister width and height, number of cavity rows and columns, cavity pitch, tablet or capsule dimensions, smallest allowed product displacement, smallest cavity or seal-edge defect, camera sensor format and resolution, available working distance, package-position tolerance and whether one or several blister packs need to fit within one image. These inputs allow a Kyptec Automation® Machine Vision Lens to be evaluated according to real FOV and object sampling.

17. Where can I compare Kyptec Automation® Machine Vision Lenses for pharmaceutical blister inspection?

The Kyptec Automation® Machine Vision Lens collection includes multiple focal lengths across conventional 5 MP, 10 MP and 25 MP resolution classes and several industrial camera formats. Buyers can first establish blister dimensions, cavity count, smallest product or seal defect and available working distance, then compare Kyptec Automation® Machine Vision Lens options that provide sufficient full-pack coverage without wasting sensor resolution on unnecessary surrounding area.

Design Blister Pack Inspection Around the Smallest Cavity-Level Error

Reliable pharmaceutical blister inspection requires recognizing that missing-tablet detection, tablet-position measurement, cavity inspection and seal-edge analysis operate at different physical scales. A complete blister can appear sharp and all tablets can be visible while a small positional error, local cavity deformation or narrow seal defect remains below the useful resolution of the optical system. The Machine Vision Lens should therefore be selected from the smallest cavity-level or product-level variation that determines production acceptance.

The strongest design process begins with package dimensions, cavity count, tablet or capsule size, cavity pitch and smallest required defect or positional tolerance. Actual package movement and rotation are then added to establish the minimum practical FOV. Pixels per millimetre and pixels per cavity can be calculated from the planned camera resolution, after which focal length, sensor format and working distance are selected so the blister occupies the sensor efficiently. Final qualification should use real minimum rejectable samples across center and outer cavity locations rather than only obvious missing products.

Kyptec Automation® provides a comprehensive Machine Vision Lens portfolio spanning multiple focal lengths, image formats and 5 MP, 10 MP and 25 MP conventional optical resolution classes. By matching the appropriate Kyptec Automation® Machine Vision Lens to blister dimensions, cavity density, tablet size, required seal inspection, camera sensor format and available working distance, OEM machine builders and system integrators can establish a stronger optical foundation for missing-tablet detection, tablet-position verification, cavity-quality inspection and automated blister seal-edge analysis.