Machine Vision Lens for Bearing Inspection: How to Measure Inner Diameter, Outer Diameter, Seal Position and Edge Defects

Automated bearing inspection combines dimensional measurement and visual quality inspection in one demanding machine vision application. A bearing may need to be checked for outer diameter, bore or inner diameter, circular profile, seal position, seal seating, visible race-edge damage, chipped edges, missing components, eccentric placement and other geometric deviations before it proceeds to assembly or final packaging. Although bearings are highly structured circular components, their inspection is not optically simple. The complete bearing may occupy a relatively large field of view while the defect or dimensional variation that determines acceptance can be only a fraction of a millimetre. Selecting the right machine vision lens for bearing inspection therefore depends on how efficiently the bearing fills the camera sensor and how much optical detail is available at the inner race, outer race, seal boundary and critical edges.

Buyers searching for bearing inspection camera lens, machine vision lens for bearing diameter measurement, bearing inner diameter inspection, outer diameter measurement machine vision, bearing seal inspection camera, bearing edge defect detection, or industrial vision system for bearing inspection are generally trying to solve several related optical questions. Can the complete bearing fit inside the required FOV? Does the bore receive enough pixels for dimensional measurement? Can a slightly displaced seal be distinguished from a correctly seated seal? Are small chips or irregularities along the inner and outer boundaries represented clearly enough for reliable rejection? These questions must be answered before focal length is finalized.

Kyptec Automation® provides a broad Machine Vision Lens portfolio covering multiple focal lengths, image formats and optical resolution classes. Its current conventional Machine Vision Lens range includes 5 MP, 10 MP and 25 MP options across 2/3", 1" and larger-format families, allowing OEM machine builders and system integrators to select optics around bearing diameter, required FOV, camera sensor format and inspection tolerance.

Bearing Inspection Should Begin With the Required Measurement or Defect

The term bearing inspection can describe several very different tasks. One station may only need to confirm bearing presence and approximate orientation. Another may need to measure bore diameter and outer diameter, calculate concentricity, verify seal placement and detect small defects along the visible race boundaries.

These applications should not be given the same optical specification.

The correct starting point is to identify the smallest dimensional variation or visible bearing defect that must reliably cause rejection. The lens can then be selected so that this feature occupies enough useful image pixels while the complete required bearing geometry remains visible.

Inner Diameter Measurement Depends on a Clean Bore Boundary

For bore measurement, the inspection system must locate the circular transition between the inner opening and the surrounding bearing structure. The precision of this boundary directly affects the calculated inner diameter.

If the bearing bore occupies only a small number of pixels across the image, a small dimensional change may result in very little measurable change at the sensor. When the bore occupies a larger portion of the image, the same physical tolerance corresponds to more pixels and can be evaluated more reliably.

A machine vision lens for bearing bore measurement should therefore be selected so the inner race and bore use a meaningful proportion of the available sensor area instead of appearing as a small feature inside an unnecessarily wide image.

Outer Diameter Measurement Has the Same Pixel-Scale Requirement

The bearing outer diameter is generally a much larger feature than the bore, but measurement accuracy still depends on the number of sensor pixels representing the external boundary.

If the application must distinguish only a large diameter difference, moderate image scale may be sufficient. If the outer diameter tolerance is tight, the complete bearing should occupy as much of the useful FOV as practical while retaining enough margin for normal positioning variation.

The fact that an entire bearing is clearly visible does not by itself prove that the Machine Vision Lens provides adequate dimensional sensitivity.

Calculate Pixels per Millimetre Before Selecting the Lens

A practical first calculation is:

Pixels per millimetre = sensor pixels across the measurement direction ÷ physical FOV in millimetres

For example, if a camera provides 4,000 horizontal pixels across a 100 mm horizontal FOV, the image scale is approximately 40 pixels/mm.

A 0.25 mm physical dimensional change would correspond to approximately 10 pixels under simplified geometry.

If the FOV is increased to 200 mm with the same camera, sampling falls to approximately 20 pixels/mm and that same 0.25 mm variation corresponds to only around 5 pixels.

This relationship makes FOV one of the most important purchasing parameters for bearing dimensional inspection.

Do Not Oversize the Field of View

If the largest bearing being inspected is 60 mm in diameter and its positioning is tightly controlled, a 150 mm FOV may waste a large amount of sensor resolution.

The better optical strategy is to select the smallest practical field that contains the maximum bearing diameter plus legitimate location tolerance and any other required measurement reference.

Reducing unnecessary surrounding area places more sensor pixels on the bearing itself.

This can improve inner-diameter measurement, outer-diameter measurement, seal-boundary inspection and small edge-defect detection without changing camera resolution.

Bearing Concentricity Requires Both Circular Boundaries in One Accurate Image

When the inspection needs to evaluate the relationship between the bearing bore and outside diameter, both circles must be represented clearly in the same image.

The system can then determine the center of the inner boundary and compare it with the center of the outer boundary.

A small apparent displacement between these centers may represent true component eccentricity, part tilt, positioning error or an optical/geometric effect.

The Machine Vision Lens should therefore provide strong usable image quality across the complete annular bearing area, not only at one boundary.

Bearing Tilt Can Affect Apparent Circular Geometry

A circular bearing viewed squarely can appear circular, while a tilted bearing can appear elliptical.

This becomes important when the vision system measures diameter, concentricity or circularity.

A lens cannot correct mechanical presentation that changes the projected geometry of the part. The inspection station should therefore control bearing orientation and keep the relevant face as consistent as possible with the intended camera geometry.

This is particularly important when dimensional tolerances are much smaller than the bearing diameter.

Seal Position Inspection Is Different From Diameter Measurement

Sealed bearings introduce another inspection target: the position of the seal relative to the surrounding ring structure.

The seal can be present but incorrectly seated, shifted, locally displaced or visually inconsistent around its circumference.

A Machine Vision Lens selected for this task should provide enough image detail that the seal boundary remains distinct around the complete visible circumference.

The critical metric may no longer be only the number of pixels across the bearing. It may be the number of pixels available across the narrow annular region between the seal and adjacent bearing features.

Seal Seating Can Be Evaluated Around the Circumference

A correctly positioned bearing seal normally creates a repeatable circular or annular relationship with the surrounding component geometry.

An inspection system can compare this boundary around the circumference rather than checking only one local point.

For reliable measurement, the Machine Vision Lens should maintain sufficient sharpness throughout the circular region used for inspection.

A seal that appears clear at the center-facing side but soft or poorly resolved on the opposite side can reduce inspection consistency.

A 25 MM 10 MP Lens Can Support Controlled Bearing Framing

For compatible 2/3" camera systems, the Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a moderate focal-length configuration. The official Kyptec Automation® product page specifies 25 mm focal length, 10 MP resolution, C-mount, 2/3" image format and an F2.8–16 aperture range.

This type of configuration can be evaluated for medium-size bearing inspection where the application needs controlled framing rather than an extremely wide field. Depending on sensor dimensions and working distance, a 25 mm lens can allow the bearing to occupy a substantial part of the image while retaining practical mounting distance.

Race-Edge Defects Need More Resolution Than Bearing Presence

Detecting whether a bearing is present is easy compared with detecting a small chip or irregularity along the inner or outer race boundary.

A small edge defect may represent only a tiny fraction of the bearing circumference.

If the complete bearing is captured with too much unused surrounding area, this defect can shrink to only a few pixels.

For bearing edge defect inspection, engineers should determine the smallest chip, notch or boundary irregularity that must be detected and calculate its expected pixel size using the final FOV.

Inner and Outer Race Boundaries Should Be Checked Across the Complete Circle

An edge defect can occur at any angular location around the bearing.

The optical system should therefore be qualified using minimum-size defects at several circumferential positions instead of placing every test defect at one convenient location.

This is especially important when portions of the bearing boundary appear near the outer image field.

The Machine Vision Lens should preserve adequate detail across the complete region where defects may legitimately appear.

Bearing Size Determines FOV, but Tolerance Determines Resolution

A 100 mm bearing clearly requires a larger physical image field than a 30 mm bearing.

However, the dimensional tolerance or smallest defect may be similar for both.

This creates a more demanding optical problem for larger bearings because the same small defect must be detected across a larger required FOV.

A larger bearing can therefore justify a higher-resolution camera-lens combination even when the inspection features are fundamentally similar.

Higher-Resolution Larger-Format Optics Can Help Large Bearings

When a relatively large bearing must remain entirely visible while small seal or edge deviations still require strong sampling, higher total image resolution becomes useful.

For compatible larger-format camera systems, the Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 16 mm, 25 MP C-mount option with an F2.8–16 aperture range according to its current product page.

A broader high-resolution configuration can be considered where whole-bearing coverage is required but the system still needs substantial total image detail for bore, seal and outer-race analysis.

A 25 MM 25 MP Lens Can Balance Bearing Coverage and Fine Detail

For compatible larger-format high-resolution systems, the Kyptec Automation® KL-1240 25 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 25 mm, 25 MP C-mount configuration with an F2.8–22 aperture range. Its official product title identifies it as the 1.1" format lens within Kyptec Automation®'s 25 MP family.

This type of lens can be evaluated when a larger bearing or multiple bearing features must remain visible while the application also requires strong sampling of inner diameter, seal position or small circumference defects.

Higher Resolution Should Improve Defect Sampling, Not Just Expand FOV

Adding more sensor pixels is most valuable when those pixels are placed on the bearing.

If a higher-resolution system is used merely to increase the physical FOV dramatically, the expected improvement in pixels/mm can be lost.

For demanding bearing inspection, the field should still be minimized around actual part size and positioning tolerance.

The additional resolution can then improve sampling of the bore boundary, seal boundary and outer race.

A 35 MM 10 MP Lens Can Be Useful From Greater Stand-Off

For compatible 1" camera systems, the Kyptec Automation® KL-1218 35 MM Machine Vision Lens With 10 MegaPixel & 1" Format Lens is specified with 35 mm focal length, 10 MP resolution, C-mount, 1" image format and an F1.4–16 aperture range.

A 35 mm focal-length class can be considered when the inspection station requires additional camera stand-off while still maintaining controlled framing of the bearing. This can be useful in machines where mechanical components prevent the camera from being mounted close to the inspection plane.

Bearing Face Features May Need a Localized Inspection Field

Not every bearing-inspection station needs to measure the complete outer diameter.

Some applications are primarily concerned with seal position, one side of a ring, a marking region, a local groove or a critical edge.

In these cases, allocating the entire sensor to the complete bearing may not be the best use of resolution.

A localized FOV can enlarge the critical region substantially and provide more pixels to the feature that actually determines acceptance.

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

Where a small bearing region needs high image scale and the mechanical design permits greater stand-off, the Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a longer 50 mm focal length within Kyptec Automation®'s 25 MP larger-format Machine Vision Lens family. The official page specifies C-mount and an F2.8–22 aperture range.

This configuration can be evaluated for local race-edge inspection, detailed seal-boundary analysis or other situations where tighter framing is more important than whole-bearing coverage.

Working Distance Changes Bearing Magnification

Focal length cannot be selected independently of working distance.

The same Machine Vision Lens produces a different physical FOV when the camera-to-bearing distance changes.

Increasing the working distance generally expands the physical field and reduces the image scale of the bearing, while moving closer increases magnification.

The correct design process therefore starts with available machine geometry and determines which lens produces the required bearing FOV at that distance.

Bearing Height Variation Can Change Measurement Scale

If bearings are presented at different heights relative to the camera, their apparent size can change in a conventional lens system.

For simple presence inspection this may not matter much, but it can affect dimensional measurement.

A system measuring bore or outside diameter should therefore control the bearing inspection plane as well as practical.

Calibration should be performed only after the final camera position, focal length and working distance are fixed.

Focus Should Be Optimized on the Bearing Plane

A circular bearing contains several strong edges, making it easy to think that focus is adequate as soon as the component looks visually sharp.

For precision inspection, focus should instead be optimized using the actual boundaries that determine the measurement result.

If seal seating is critical, the seal boundary should be examined carefully. If bore diameter is critical, the inner circular edge should receive priority.

The Machine Vision Lens should then be checked across the entire valid annular inspection region.

Aperture Must Support Both Edge Sharpness and Height Tolerance

Bearing inspection may involve minor variation in part height or surface planes.

Stopping down the aperture can increase depth-of-field tolerance, but stopping down excessively can reduce fine detail through diffraction.

The aperture should therefore be chosen using the smallest race-edge defect and the tightest measurement feature expected in production.

The best setting is the one that maintains sufficient focus tolerance without sacrificing the edge detail required for inspection.

Edge Contrast Matters for Dimensional Repeatability

A dimensional algorithm does not measure a physical bearing directly; it measures the image of its boundary.

If that boundary is soft or weak, changes in thresholding or local image intensity can shift the detected edge.

Sharp, repeatable image transitions provide a stronger optical basis for diameter and concentricity calculations.

This makes Machine Vision Lens quality important even when the nominal camera resolution appears adequate.

Seal Color or Finish Can Affect Boundary Visibility

Bearing seals may differ in surface appearance, and visible contrast between the seal and surrounding metal can vary.

The optical system should therefore be tested on the actual bearing variants expected in production rather than a single ideal sample.

The focal length does not change because of seal color, but the real contrast level can affect how reliably the seal boundary is detected.

Resolution and visibility must be evaluated together.

Grease or Surface Contamination Can Alter Visible Bearing Edges

Production bearings may contain grease, oil or other normal process residue that changes local image appearance.

A clean reference bearing can therefore produce a sharper-looking boundary than components arriving directly from production.

Final lens qualification should include representative production conditions so the minimum defect remains detectable even when normal surface appearance changes.

Bearing Rotation Can Improve Coverage but Does Not Replace Resolution

Rotating a bearing during inspection can expose different circumferential areas, but it does not correct inadequate optical sampling.

If a small edge defect occupies only one or two pixels, rotating it into another location will not create missing detail.

The required image scale should be established first.

Rotation, where used, can then provide additional circumferential views while the Machine Vision Lens maintains adequate resolution.

Multiple Bearings in One Image Create a Throughput-versus-Resolution Trade-Off

An inspection machine may attempt to capture several bearings simultaneously.

This can reduce the number of images required per cycle, but the overall FOV becomes larger and each bearing occupies fewer pixels.

The smallest bore tolerance, seal displacement or edge defect must therefore be calculated against the complete multi-bearing FOV, not the size of one bearing alone.

If the available pixels per bearing become too low, a higher-resolution lens-camera architecture or fewer bearings per image may provide better inspection reliability.

Different Bearing Sizes Require Rechecking Pixel Scale

A Machine Vision Lens configured for several bearing sizes may provide excellent sampling for the largest bearing because it fills much of the sensor.

A much smaller bearing passing through the same FOV may occupy far fewer pixels.

If the smaller bearing has equally tight dimensional tolerances, its inspection can actually become more demanding.

Each bearing size should therefore be evaluated using its own pixels/mm rather than assuming that one successful setup automatically provides equal accuracy across the entire product family.

Circular Profile Inspection Can Reveal More Than Diameter Alone

Two bearings can have nearly identical overall diameters while one contains local edge deformation.

A single diameter value may not reveal that defect.

Full circumference profile analysis examines the boundary at many angular positions and can identify localized deviations from the expected circular shape.

This type of inspection benefits from a Machine Vision Lens that preserves consistent edge definition throughout the complete bearing circumference.

Why Kyptec Automation® Is a Practical Choice for Bearing Inspection

Kyptec Automation® offers a broad Machine Vision Lens collection covering multiple focal lengths, sensor formats and resolution classes. The current portfolio includes 5 MP, 10 MP and 25 MP conventional Machine Vision Lens families, providing OEM machine builders and system integrators with several optical configurations for whole-bearing inspection, dimensional measurement and localized high-detail imaging.

For compatible 2/3" systems requiring moderate controlled framing, Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a 25 mm, 10 MP option. Where compatible 1" cameras and additional stand-off are required, Kyptec Automation® KL-1218 35 MM Machine Vision Lens With 10 MegaPixel & 1" Format Lens provides a 35 mm alternative.

For applications where large bearing coverage must coexist with small dimensional tolerances or small edge defects, Kyptec Automation® provides higher-resolution larger-format options such as Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens and Kyptec Automation® KL-1240 25 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens. For localized high-detail inspection from greater stand-off, Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a longer focal-length option.

This portfolio breadth makes Kyptec Automation® useful for bearing inspection because different applications can require very different combinations of physical FOV, camera format, resolution and machine stand-off. Lens selection can therefore be based on the actual bearing dimensions and inspection tolerance rather than forcing one focal length to serve every bearing-inspection station.

Frequently Asked Questions About Machine Vision Lenses for Bearing Inspection

1. What is the best Machine Vision Lens for bearing inspection?

The correct Machine Vision Lens depends on the largest bearing diameter, smallest measurement tolerance or defect, sensor format, camera resolution and available working distance. A whole-bearing dimensional inspection usually needs enough FOV to include the complete outer diameter while using as much of the sensor as practical. A localized seal or race-edge inspection may instead benefit from a tighter field and longer focal length. Kyptec Automation® provides multiple focal-length and resolution choices so selection can be matched to the real inspection geometry rather than choosing one generic lens.

2. How do I choose a lens for bearing inner diameter measurement?

Start with the bearing's maximum outside diameter because the required reference geometry may need to remain visible, then determine the bore tolerance that must be measured. Calculate pixels/mm from the planned FOV and check how many pixels correspond to the minimum permitted bore variation. The Machine Vision Lens should provide a field that contains the required bearing geometry without leaving excessive unused space, because a tighter legitimate FOV increases sampling at the inner circular boundary.

3. Can the same Machine Vision Lens measure bearing inner and outer diameter?

Yes, provided both boundaries remain inside the valid image and receive adequate optical sampling. The inner and outer circles can then be detected from the same image, which also creates the possibility of comparing their centers. The important requirement is that the total FOV needed for the outside diameter still leaves enough pixels on the inner bore for the required measurement tolerance.

4. How can machine vision check whether a bearing bore is concentric with the outside diameter?

The inspection can identify the center of the inner circular boundary and separately determine the center of the outer boundary, then compare their relative positions. Reliable concentricity inspection requires both edges to be sharp and visible across the complete circumference. Bearing tilt and variation in the inspection plane should also be minimized so apparent geometric change is not mistaken for component eccentricity.

5. Which Kyptec Automation® lens can be considered for a medium-size bearing on a 2/3-inch camera?

For a compatible 2/3" camera system, Kyptec Automation® KL-1228 25 MM Machine Vision Lens With 10 MegaPixel & 2/3" Format Lens provides a 25 mm, 10 MP C-mount configuration with an F2.8–16 aperture range. Whether it is appropriate for a particular bearing should be determined from actual sensor dimensions, working distance, required FOV and minimum measurement tolerance.

6. Can a Machine Vision Lens detect a bearing seal that is not seated correctly?

Yes, when incorrect seating produces a visible change in the seal boundary or its position relative to surrounding bearing geometry. The lens should provide enough image resolution around the complete annular seal region rather than only making the overall bearing recognizable. Minimum acceptable-versus-rejectable seal displacement should be tested at several angular locations during qualification.

7. Why is bearing seal inspection sometimes harder than outer diameter measurement?

The outside diameter forms a large strong geometric boundary, while the seal may occupy only a narrow annular region and can have lower visible contrast against surrounding material. A very small local seal displacement can therefore require greater effective image detail than the much larger bearing diameter. Lens selection should consider the smallest seal-position error, not only the component's overall size.

8. Can a 35 mm Machine Vision Lens be useful for bearing inspection from a longer working distance?

Yes. For compatible 1" camera systems, Kyptec Automation® KL-1218 35 MM Machine Vision Lens With 10 MegaPixel & 1" Format Lens provides a 35 mm, 10 MP C-mount configuration with an F1.4–16 aperture range. It can be evaluated where machine geometry requires additional stand-off while the bearing still needs controlled framing.

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

A higher-resolution lens-camera combination becomes particularly useful when the bearing is physically large but the inspection tolerance or smallest edge defect remains small. In that situation, reducing FOV may not be possible because the complete bearing must remain visible. A higher-resolution compatible optical system can provide more total sampling across the necessary field, provided those extra pixels are used on the bearing rather than on unnecessary surrounding space.

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

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, 25 MP C-mount configuration with an F2.8–22 aperture range. It can be evaluated where whole-bearing coverage and fine-dimensional or seal-edge sampling need to coexist.

11. Which lens is useful when I need a broader high-resolution FOV for a large bearing?

For compatible larger-format camera systems, Kyptec Automation® KL-1238 16 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a shorter 16 mm focal-length option with 25 MP resolution, C-mount and an F2.8–16 aperture range. It can be considered when a wider physical field is needed while maintaining a high-resolution optical class.

12. Can a 50 mm lens be used for localized bearing race or seal inspection?

Yes, when the machine provides sufficient working distance and the inspection is concentrated on a smaller critical region. Kyptec Automation® KL-1244 50 MM Machine Vision Lens With 25 MegaPixel & 1.1" Format Lens provides a 50 mm, 25 MP C-mount configuration with an F2.8–22 aperture range for compatible larger-format systems. Tighter framing can allocate significantly more sensor pixels to a local seal edge or race feature.

13. Why does bearing position matter if the complete part still fits inside the image?

Position matters because the inspection may use different regions of the lens field as the bearing moves. A minimum-size edge defect or seal displacement should remain detectable anywhere inside the legitimate product-position range. Large movement can also force a wider FOV, which reduces pixels/mm. Better mechanical positioning can therefore directly improve effective optical sampling.

14. Can one camera image inspect several bearings at the same time?

Yes, but every additional bearing increases the physical FOV required unless the parts are extremely close together. The sensor's pixels are then shared across multiple components, so each bearing receives less image detail. Before adopting multi-bearing imaging, calculate the number of pixels available across the smallest bore, seal feature or required defect for each bearing inside the complete field.

15. Does bearing rotation affect dimensional measurement accuracy?

It should not significantly change the true physical diameter of a correctly presented circular part, but rotation can expose different local defects and surface conditions around the circumference. If the bearing is also tilted or displaced axially during rotation, apparent geometry can change. For precision diameter or concentricity inspection, the bearing plane should therefore remain mechanically stable while any intentional rotation occurs.

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

Provide the minimum and maximum bearing outside diameter, bore diameter, dimensional tolerance, smallest edge defect, required seal-position tolerance, camera sensor format and resolution, available working distance, permitted bearing-position variation and whether one or multiple bearings must fit in the image. These values allow a Kyptec Automation® Machine Vision Lens to be evaluated according to actual FOV and pixels/mm rather than focal length alone.

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

The Kyptec Automation® Machine Vision Lens collection contains multiple focal lengths and 5 MP, 10 MP and 25 MP optical classes for different industrial camera formats. Buyers can first establish bearing diameter, required tolerance, available stand-off and sensor format, then compare Kyptec Automation® Machine Vision Lens options that provide sufficient bearing coverage without sacrificing unnecessary resolution to unused FOV.

Design Bearing Inspection Around the Tightest Tolerance, Not Just the Bearing Diameter

Reliable automated bearing inspection starts with recognizing that a bearing is not one optical feature. The outer diameter, bore, seal boundary and race edges occupy different proportions of the image and can demand very different levels of resolution. A system that clearly identifies the complete bearing may still provide too little information to measure a tight bore tolerance, detect a slightly displaced seal or identify a small edge irregularity.

The strongest optical design begins with the largest bearing that must fit inside the image and the smallest dimensional variation or defect that must be detected. Actual positioning tolerance is then added to establish the minimum practical FOV. Pixels per millimetre can be calculated from the selected camera resolution, after which focal length and working distance are chosen so the bearing uses the sensor efficiently. The final setup should be qualified using real minimum-tolerance bearings, seal-position variations and edge defects throughout the complete valid inspection region.

Kyptec Automation® provides a broad Machine Vision Lens portfolio across multiple focal lengths, image formats and 5 MP, 10 MP and 25 MP optical resolution classes. By matching the appropriate Kyptec Automation® Machine Vision Lens to bearing dimensions, bore and outer-diameter tolerance, required seal inspection, minimum edge defect, camera sensor format and working distance, OEM machine builders and system integrators can establish a stronger optical foundation for automated bearing dimensional inspection, concentricity analysis, seal-position verification and race-edge quality control.