Why Is My Machine Vision Camera Image Blurry? Lens Resolution, Focus, Pixel Size and Aperture Troubleshooting

A blurry machine vision camera image does not always mean the camera is defective or the lens is low quality. In an industrial imaging system, loss of sharpness can come from several different sources that produce similar looking symptoms: incorrect focus, motion blur, insufficient lens resolution, very small camera pixels, unsuitable aperture, diffraction, vibration, incorrect working distance, excessive exposure, dirty optical surfaces or even a protective window in front of the camera.

Finding the real cause matters because each problem requires a different solution.

If the lens is out of focus, replacing the camera will not solve it. If conveyor movement is creating motion blur, buying a higher resolution lens will not solve it. If a high resolution industrial camera has pixels much smaller than the optical detail delivered by the lens, sharpening the image in software cannot recover information that never reached the sensor.

A better troubleshooting method is to diagnose blur in a controlled order.

Start with a stationary object. Check focus. Check exposure. Change aperture. Inspect whether the centre and corners behave differently. Compare image sharpness at different working distances. Only after those variables are controlled should lens resolution or camera pixel size be blamed.

Kyptec Automation® provides machine vision lenses in several optical resolution classes, focal lengths and sensor formats. That range is useful when troubleshooting because the replacement lens, if one is actually required, can be matched to the camera and application rather than selected simply because it has a larger megapixel number.

First Decide What “Blurry” Actually Looks Like

Not every soft image has the same cause.

A completely out of focus image usually lacks a clearly sharp plane anywhere on the object.

Motion blur often has a direction. Features may look stretched horizontally or vertically depending on the direction of movement.

Insufficient lens resolution can produce an image that appears reasonably focused at larger details but fails to separate very fine lines, textures or small defects.

Diffraction related softness can appear after the aperture is closed too far. The image may gain depth of field but lose fine detail across the frame.

Edge softness can indicate that the centre is focused correctly while the outer image regions are limited by optical performance, sensor coverage, field curvature or alignment.

Overexposure can also imitate blur because bright features spread into neighbouring pixels and lose a clear edge.

Before changing equipment, identify which of these patterns most closely matches the image.

Troubleshooting Step 1: Test the Camera with a Completely Stationary Object

The fastest way to separate focus blur from motion blur is to stop the object.

Use the same camera, lens, lighting and approximate exposure settings, but inspect a stationary target containing fine details.

If the image becomes sharp while the production line is stopped, the lens may not be the main problem. Motion during exposure is a stronger suspect.

If the stationary image remains blurry, continue troubleshooting focus, aperture and optical resolution.

This simple test prevents a common purchasing mistake: replacing the machine vision lens when the real problem is insufficiently short exposure time.

Troubleshooting Step 2: Focus on a High Contrast Detail

Focusing on a large object outline can be misleading.

A broad edge may appear acceptable even when the lens is not at its optimum focus position.

Instead, choose fine, high contrast details such as printed lines, small text, a sharp machined edge or a suitable resolution target.

Adjust focus slowly while viewing the image at full sensor resolution.

Do not rely only on a resized preview window. A display that scales a large camera image down to fit the screen can hide small changes in sharpness.

The correct focus position is where the finest relevant details show their strongest separation and contrast.

Once this position is found, secure the focus adjustment so it cannot move during production.

Why a Camera Can Look Focused but Still Fail Inspection

Visual sharpness on a monitor is not the same as useful inspection sharpness.

A 20 megapixel image displayed on an ordinary screen may be heavily scaled down. Fine detail lost by the optical system may not be obvious at that display size.

The machine vision software, however, processes the full resolution image.

This means a lens can appear “sharp enough” to an operator while still failing to provide enough edge contrast for dimensional measurement, OCR or tiny defect detection.

Troubleshooting should therefore be performed at full resolution and, ideally, against the actual feature the inspection algorithm needs to detect.

Troubleshooting Step 3: Check Whether the Working Distance Changed

A lens is focused for a particular object distance.

If the camera position, object height or machine tooling changes, the object can move outside the intended focus plane.

This is especially noticeable when depth of field is shallow.

Suppose a camera was commissioned while inspecting a component 300 mm from the lens. A later mechanical modification raises the component by several millimetres.

The image may now become slightly soft even though nobody touched the camera or lens.

A similar issue occurs when different product variants have different heights.

Before replacing a blurry lens, confirm that the actual object distance still matches the condition under which the camera was focused.

Troubleshooting Step 4: Understand Depth of Field Blur

Not every part of a three dimensional object can always remain perfectly sharp.

Depth of field describes the range of object distances that appear acceptably focused.

If a product surface varies significantly in height, one region may be sharp while another becomes soft.

Closing the aperture can increase depth of field, but that solution has limits because very small apertures can introduce diffraction.

Working distance, focal length, magnification, sensor sampling and acceptable blur also influence the usable focus range.

If only the raised or recessed parts of the product are blurry, the problem is more likely depth of field than overall lens resolution.

The correct solution may involve aperture adjustment, different camera geometry, reduced magnification or tighter control of object position.

Troubleshooting Step 5: Open and Close the Aperture Systematically

The lens aperture is one of the most useful diagnostic controls in machine vision.

A wide aperture allows more light to reach the sensor and supports shorter exposure times. However, depth of field becomes shallower, and some lenses may not deliver their strongest overall image quality at the widest setting.

Closing the aperture moderately can improve depth of field and sometimes improve image uniformity.

Closing it too far introduces another problem: diffraction.

Instead of jumping from one extreme to the other, test several aperture settings while keeping exposure brightness comparable.

If you close the iris, compensate with more illumination or exposure only when doing so will not create motion blur.

The sharpest aperture is the one that provides the best balance of fine detail, required depth of field and sufficient light for the actual production speed.

Why F16 or F22 Can Make a Machine Vision Image Softer

Many engineers close the iris as far as possible because the increased depth of field seems desirable.

At very small apertures, light passing through the opening spreads because of diffraction.

That spreading increases the size of the optical blur pattern reaching the sensor.

On a camera with relatively large pixels, the effect may be modest. On a high resolution camera with very small pixels, diffraction can become visible sooner because the sensor samples the image more finely.

This creates an important troubleshooting clue.

If an image becomes sharper as the lens is changed from a very small aperture toward a moderate aperture, the original problem may have been diffraction rather than poor focus.

Several Kyptec Automation® lenses provide adjustable aperture ranges. For example, Kyptec Automation® KL-1216 25 mm 10 MP Machine Vision Lens is specified with an F1.4 to F16 aperture range for compatible 1 inch C mount cameras. Kyptec Automation® KL-1240, a 25 mm 25 MP Machine Vision Lens, is specified with an F2.8 to F22 range for its compatible larger format class.

The available range does not mean every setting is equally suitable for every inspection. Aperture should be optimized for the actual camera pixel size, lighting and depth of field requirement.

Troubleshooting Step 6: Check Exposure Time for Motion Blur

Machine vision systems often inspect moving products.

During the camera exposure, the object continues to travel.

If it moves far enough across the sensor, fine features become smeared in the direction of motion.

A simple approximation can show how serious this can be.

Suppose the imaging system represents 0.05 mm of the object per pixel.

If the product moves 0.25 mm during the exposure, the image shifts approximately five pixels.

A small defect or printed edge can therefore be blurred across several pixels even with a perfectly focused, high resolution lens.

The solution is normally to shorten exposure time and provide sufficient illumination to maintain image brightness.

This is why a brighter controlled machine vision light can sometimes improve apparent sharpness more than replacing the lens.

How to Recognize Motion Blur

Motion blur usually has direction.

If a conveyor travels horizontally and vertical edges appear smeared horizontally, movement is a strong suspect.

A stationary image comparison makes the diagnosis even clearer.

Another useful test is to reduce exposure time substantially while increasing illumination enough to keep the image usable.

If edges become sharper as exposure time decreases, the problem was at least partly motion related.

Changing focus cannot correct motion blur because the object was physically recorded at multiple positions during one exposure.

Troubleshooting Step 7: Check for Camera or Lens Vibration

The object does not need to move for motion blur to occur.

If the camera itself vibrates during exposure, the entire scene can shift on the sensor.

Sources can include motors, conveyors, pneumatic equipment, robotic movement, machine impacts or a flexible camera bracket.

This kind of blur can be difficult to recognize because it may appear only when the production machine is running.

Compare images with nearby equipment stopped and running.

Also inspect the camera bracket physically. A mounting plate that feels rigid by hand can still oscillate enough to affect a high magnification imaging system.

Longer focal length configurations and high resolution cameras can make small mechanical movements more visible.

The solution is mechanical stabilization or shorter exposure, not a higher megapixel lens.

Troubleshooting Step 8: Determine Whether Lens Resolution Is the Limiting Factor

Once focus, motion, aperture and mechanical stability are controlled, the lens itself can be evaluated.

A high resolution industrial camera contains many small pixels. To use those pixels effectively, the lens must preserve sufficient optical contrast at fine spatial detail.

If the lens cannot resolve those details, the camera samples a softened optical image.

This often appears as a situation where large features look fine but small details never become crisp, regardless of careful focusing.

The lens may be working correctly; it may simply be designed for a lower resolution class than the camera or inspection requires.

Kyptec Automation® provides multiple optical resolution classes within its Machine Vision Lens collection. A buyer can therefore move from a 5 MP class lens toward 10 MP or 25 MP optics when the camera sensor and inspection detail genuinely require higher optical performance.

5 MP Lens on a High Resolution Camera: Will the Image Look Blurry?

It may, depending on the sensor and application.

A 5 MP lens does not suddenly stop producing an image when fitted to a camera containing more pixels. The mechanical and sensor coverage requirements still determine whether the combination can be used.

However, a higher density sensor may sample finer spatial detail than the 5 MP optical system was intended to preserve.

In that case, the additional camera pixels may not produce the expected increase in sharpness.

For example, Kyptec Automation® KL-1208 25 mm 5 MP Machine Vision Lens is specified as a 5 MP, 25 mm, 2/3 inch C mount lens.

For a compatible 2/3 inch camera requiring a higher optical class at the same nominal focal length, Kyptec Automation® KL-1228 25 mm 10 MP Machine Vision Lens provides a 10 MP option.

The correct comparison is not simply 5 MP versus 10 MP. It is whether the camera pixel density and inspection requirement benefit from the higher optical resolution.

Troubleshooting Step 9: Understand Why Smaller Pixels Reveal More Optical Weakness

Small camera pixels can reveal blur that went unnoticed on a lower resolution sensor.

Imagine a small optical blur spot falling on a sensor.

If the pixels are relatively large, that spot may affect only one or two pixels.

If the pixels are much smaller, the same optical blur spreads across more pixel samples.

The lens did not suddenly become worse. The new sensor is simply examining the optical image more finely.

This explains why a lens that produced excellent results on an older industrial camera can appear less impressive after the camera is upgraded to a higher resolution sensor.

A camera upgrade should therefore include an optical review rather than assuming the previous lens will allow the new sensor to reach its full potential.

Troubleshooting Step 10: Check for Overexposure and Highlight Bloom

An image can look soft because it is too bright.

When a bright region approaches or exceeds sensor saturation, fine intensity differences disappear.

A white printed edge may expand visually into its background. Reflective metal highlights can lose their exact boundaries. Small bright features can merge with neighbouring pixels.

The result may look like optical blur even though focus is correct.

Check the image histogram or raw intensity levels if available.

Reduce exposure or illumination and see whether edge definition improves.

High resolution inspection should avoid unnecessary saturation because saturated pixels contain little useful information about local contrast.

Troubleshooting Step 11: Check Whether Software Sharpening Is Hiding the Real Problem

Digital sharpening can make edges look more pronounced.

It cannot recreate missing optical information.

An aggressively sharpened image may look crisp on screen while introducing halos or artificial edge patterns that reduce measurement reliability.

For troubleshooting, temporarily reduce or disable software sharpening, denoising and resizing where possible.

Evaluate the raw or minimally processed image.

The objective is to determine what the camera and lens actually captured before software enhancement.

Once the optical system is working properly, image processing can be optimized around good source data.

Troubleshooting Step 12: Clean the Lens, Sensor Window and Protective Glass

Blur can have a very simple cause.

Dust, fingerprints, oil mist or contamination on the front lens surface can scatter light and reduce contrast.

A protective enclosure window can create the same problem.

In industrial environments, the outer glass may accumulate a film gradually, causing image quality to deteriorate over weeks or months.

Because the change is slow, operators may assume that the camera or lens is ageing.

Inspect and clean optical surfaces using an appropriate method for the component.

Also check whether condensation or contamination exists inside the protective window.

A dirty optical path frequently reduces contrast before it causes obvious visible dirt spots.

Troubleshooting Step 13: Inspect Protective Windows for Reflections

A camera can work perfectly on the bench and appear softer after being installed inside a protective enclosure.

The additional glass changes the optical path and can introduce reflections, flare or reduced contrast.

The effect is especially noticeable when bright lights reflect between the lens and protective window.

Try testing the camera temporarily without the enclosure window, if the equipment can be operated safely.

If image clarity improves, the protective window or its angle, coating, cleanliness or position deserves further investigation.

Replacing the machine vision lens would not address the root cause.

Troubleshooting Step 14: Check Whether Only the Corners Are Blurry

A sharp centre with soft corners is different from an image that is uniformly out of focus.

Possible causes include insufficient lens coverage for the sensor, optical edge performance, sensor tilt, lens tilt, field curvature or an alignment problem.

First make sure the lens image format is appropriate for the camera sensor.

A lens designed for a smaller sensor can perform acceptably near the centre while the larger sensor reaches into weaker outer image regions.

If the sensor format is correct, inspect whether one corner is worse than the opposite corner.

Asymmetric softness can suggest mechanical tilt or alignment.

Symmetrical softness around all edges is more likely to be related to optical field performance or focus behaviour.

Troubleshooting Step 15: Check Whether One Side Is Sharp and the Other Side Is Blurry

If the left side of a flat target is sharp while the right side is blurry, the problem may not be lens resolution.

The camera sensor plane and object plane may not be parallel.

The camera can be slightly rotated on its bracket, or the target itself can be tilted.

One part of the image is then physically closer to the lens than another.

With shallow depth of field, that difference is enough to move one side out of focus.

Use a flat target and carefully check camera alignment before replacing the lens.

This is particularly important in measurement systems, where tilt can affect both sharpness and geometry.

Troubleshooting Step 16: Test at the Centre Before Blaming Sensor Compatibility

If the image is blurry everywhere, first focus on the centre.

If the centre can become extremely sharp but corners remain weak, investigate sensor coverage or edge performance.

If even the centre cannot resolve fine detail, focus, motion, aperture, optical resolution or contamination are more likely causes.

This centre first diagnostic method separates many full frame optical problems from general sharpness problems.

Troubleshooting Step 17: Use a Known Test Target

Production objects can make troubleshooting difficult because their texture and contrast vary.

A known high contrast target provides a consistent reference.

Place it at the actual working distance.

Focus carefully.

Capture images at several aperture settings.

Repeat with the machine stopped and running.

Compare centre and edge detail.

This creates a controlled way to isolate changes in focus, vibration and optical resolution.

Once the optical system performs correctly on the target, return to the real product and troubleshoot lighting or surface contrast separately.

Worked Example: A 10 MP Camera Looks No Sharper Than the Old Camera

Suppose an inspection machine is upgraded to a camera with substantially higher pixel count, but the image looks almost identical to the previous lower resolution system.

The first assumption may be that the camera upgrade provided no benefit.

A better troubleshooting sequence is to examine the lens.

If the existing lens was designed for a lower optical resolution, the higher resolution sensor may simply be sampling the same limited optical detail with more pixels.

The engineer should first confirm focus and aperture, then check that motion blur is negligible.

If the image remains optically limited, a higher resolution machine vision lens can be tested.

For a compatible 1 inch camera needing approximately 25 mm focal length, Kyptec Automation® KL-1216 provides a 10 MP optical class.

For a compatible larger format high resolution system requiring a similar nominal focal length, Kyptec Automation® KL-1240 provides a 25 MP optical class.

The appropriate choice depends on the actual sensor format and resolution rather than the desire to make the image “sharper” in general.

Worked Example: Image Gets Worse After Closing the Iris

Suppose a machine vision camera produces an image with limited depth of field at a relatively open aperture.

The engineer closes the iris progressively until much more of the product appears focused.

However, small printed details now look less crisp across the entire image.

The first reaction may be to refocus the lens.

If refocusing does not restore the fine detail, diffraction should be considered.

Open the aperture incrementally while compensating the brightness with more controlled illumination.

If fine details return while acceptable depth of field is retained, the previous aperture was probably smaller than necessary.

The best setting is not the smallest possible aperture. It is the aperture that produces enough depth of field without unnecessarily sacrificing spatial detail.

Worked Example: Blurry Image Only at Full Production Speed

A camera produces clear images during setup, but defects are missed when the conveyor reaches normal speed.

Because the stationary image is sharp, basic focus and lens resolution are probably adequate.

The next step is exposure.

Suppose the object moves 1 metre per second and the exposure is 1 millisecond.

During one exposure the product travels 1 mm.

If the imaging system represents 0.05 mm per pixel, that corresponds to approximately 20 pixels of movement.

No high resolution lens can make a 20 pixel smear sharp.

The exposure must be shortened dramatically, and the illumination must provide enough light during that shorter interval.

This example demonstrates why machine vision image troubleshooting should isolate motion before lens replacement.

How to Decide Whether You Actually Need a New Lens

A new machine vision lens becomes a strong candidate when the camera is correctly focused, the object and camera are stable, exposure is short enough to eliminate motion blur, the aperture is operating in a reasonable range, the optical surfaces are clean, sensor coverage is appropriate, and fine details still cannot be resolved adequately.

At that point, compare the lens optical resolution class with the camera sensor and required inspection feature.

If the system has moved to smaller pixels or much higher camera resolution, an optical upgrade may be justified.

Kyptec Automation® provides industrial machine vision lenses ranging from moderate resolution options through higher resolution 10 MP and 25 MP classes. This allows the lens upgrade to match the camera rather than simply replacing one lens with another of the same optical class.

Frequently Asked Questions About Blurry Machine Vision Camera Images

1. Why does my machine vision image look sharp in preview but blurry when I zoom to 100 percent?

The preview is often scaled down, which hides fine optical softness. At 100 percent view, each sensor pixel is represented much more directly and focus errors, lens resolution limits and motion blur become easier to see. Perform lens evaluation using the full resolution image rather than only a reduced live preview.

2. Why does my industrial camera become blurry after it warms up?

Thermal changes can slightly alter mechanical dimensions, lens position or focus in sensitive high resolution systems. If sharpness changes consistently between cold startup and stable operating temperature, test focus after the system reaches normal thermal conditions and check whether the lens or camera mount is shifting.

3. Why is the image sharp at one product height but blurry on another product variant?

The second product may lie outside the available depth of field. Refocusing for each variant can solve the immediate problem, but a production system may need a more suitable aperture, geometry or focus strategy if multiple heights must be inspected without adjustment.

4. Can too much machine vision lighting make the image appear blurry?

Yes. Excessive illumination can drive bright regions into saturation, removing edge information and making features appear wider or softer. Reduce exposure or lighting intensity and check whether local edge contrast improves before changing the lens.

5. Why do thin lines disappear even though large objects are perfectly sharp?

The optical system may resolve coarse details but lack sufficient contrast at the higher spatial frequencies represented by very thin lines. Camera sampling can also be insufficient. Check pixels across the line, lens resolution class, focus and aperture. A higher resolution Kyptec Automation® lens can be useful when the sensor and application genuinely require finer spatial information.

6. Why does refocusing the lens improve the centre but make the corners worse?

The sensor and object may not lie on a single ideal focus plane, or the lens may show field related focus behaviour. Check camera alignment and sensor format first. If all edges soften symmetrically, optical field performance may be involved. If only one side changes strongly, mechanical tilt is more likely.

7. Can tightening the lens too much make the image blurry?

The lens should be mounted correctly and securely, but forcing mechanical components or using an inappropriate adapter can create alignment or flange distance problems. Follow the intended camera mount arrangement and avoid adding spacers or adapters unless their optical effect is understood.

8. Why does the image become noisy when I shorten exposure to remove blur?

A shorter exposure collects less light. Increasing electronic gain to compensate can increase noise. The better solution is often to increase controlled illumination so the short exposure receives enough photons without relying excessively on gain.

9. Why are reflective parts blurry while matte parts look sharp with the same lens?

The issue may be flare, saturation or uncontrolled reflections rather than focus. Highly reflective surfaces can spread bright light across neighbouring image regions and reduce local contrast. Adjust illumination geometry and exposure before concluding that the lens cannot focus the reflective product.

10. Can camera gain make a machine vision image look less sharp?

High gain amplifies both image signal and noise. Fine edges can become less stable because noise competes with the small intensity differences the inspection software uses. Gain does not change optical focus directly, but excessive gain can reduce perceived and algorithmic image quality.

11. Why does my machine vision lens look sharp at F4 but soft at F16?

At a moderate aperture, the lens may provide a strong balance of optical performance and depth of field. At F16, diffraction can reduce fine detail, especially on cameras with small pixels. The exact optimum depends on the lens, sensor and application, so aperture should be tested rather than automatically closed as far as possible.

12. Can a dirty protective enclosure window reduce lens resolution?

Yes. Dust, oil film, scratches and reflections on an enclosure window can reduce image contrast before the light even reaches the lens. If possible, compare the image with and without the window under safe test conditions. Clean or improve the window before replacing otherwise suitable optics.

13. Why does one replacement lens look different even though it has the same focal length?

Focal length defines imaging geometry, not total optical performance. Two 25 mm lenses can have different sensor format, resolution class, aperture range and optical design. For example, Kyptec Automation® KL-1208 is a 25 mm 5 MP 2/3 inch lens, Kyptec Automation® KL-1228 is a 25 mm 10 MP 2/3 inch lens, and Kyptec Automation® KL-1240 is a 25 mm 25 MP option for a larger format class. Match the complete specification rather than focal length alone.

14. Why does my image blur only when a nearby motor starts?

The motor may be introducing mechanical vibration into the camera mounting structure. Compare images with the motor stopped and operating. If blur appears only during operation, strengthen or isolate the mount and consider reducing exposure time. Replacing the lens will not remove vibration induced movement.

15. When should I contact a lens supplier instead of continuing to adjust focus?

Seek application specific guidance when you have confirmed the camera model, sensor format, focal length requirement, working distance, aperture, exposure and mechanical stability but cannot achieve the required fine detail. Providing full camera and application information makes troubleshooting more productive. Kyptec Automation® can be contacted through its Contact Us page when the existing optical configuration needs to be reviewed against an appropriate machine vision lens.

A Practical Blur Troubleshooting Sequence Before Buying Another Lens

When a machine vision camera image appears blurry, begin with a stationary object and inspect the full resolution image.

Focus on a fine high contrast feature.

Confirm that the object is still at the intended working distance.

Test several aperture positions rather than automatically using the widest or smallest setting.

Reduce exposure time to determine whether motion is involved.

Check camera and lens vibration while the production machine is running.

Inspect lens glass, camera windows and any protective enclosure surfaces.

Reduce overexposure and excessive gain.

Check whether the centre and corners behave differently.

Confirm that the lens image format matches the camera sensor.

Compare the lens resolution class with the camera pixel density.

Only then decide whether optical replacement is actually necessary.

If a replacement is required, do not choose from focal length alone.

A compatible 2/3 inch camera operating around 25 mm focal length may use Kyptec Automation® KL-1208 when a 5 MP optical class is sufficient or Kyptec Automation® KL-1228 when the camera and inspection require a 10 MP class.

A compatible 1 inch camera can instead consider Kyptec Automation® KL-1216 at 25 mm and 10 MP.

A demanding high resolution larger format system can evaluate Kyptec Automation® KL-1240 at 25 mm and 25 MP or Kyptec Automation® KL-1244 50 mm 25 MP Machine Vision Lens when a longer focal length suits the required geometry.

The value of the Kyptec Automation® range is that engineers can change optical resolution, focal length and sensor format according to the diagnosed requirement instead of assuming every blurry image needs the same lens upgrade.

Final Answer: Why Is Your Machine Vision Camera Image Blurry?

A blurry industrial camera image normally comes from one or more limits in the imaging chain.

The object may not be at the correct focus distance.

The required depth of field may be larger than the current optical setup provides.

The aperture may be too wide or unnecessarily small.

The object or camera may move during exposure.

The machine may be vibrating.

The lens may not preserve enough fine detail for the camera's pixel size.

The sensor may have been upgraded without upgrading the optics.

The image may be overexposed.

The lens or protective window may be contaminated.

The camera may be tilted relative to the object.

The sensor may be using optical regions near the edge of the lens coverage where performance is weaker.

The correct solution depends on which of these is actually happening.

For that reason, replacing a lens should normally be the result of troubleshooting, not the first troubleshooting step.

Control motion, focus and exposure first. Optimize aperture. Verify mechanical alignment and cleanliness. Check the sensor and lens resolution match. Then evaluate whether a different optical class is required.

Kyptec Automation® provides a broad Machine Vision Lens range for different camera resolutions, sensor formats and focal lengths, which makes it possible to choose a new lens around the diagnosed image quality requirement rather than guessing from a blurry image.

A sharp machine vision image is not produced by the lens alone.

It is produced when focus, aperture, working distance, exposure, illumination, camera pixels, lens resolution and mechanical stability all work together.

Troubleshoot those variables individually, and the cause of machine vision image blur becomes much easier to identify and correct.