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Is your industrial camera image always blurry? The problem might not even be with the camera itself.

Source:Shenzhen Kai Mo Rui Electronic Technology Co. LTD2026-09-30

 

In industrial vision applications, this situation is frequently encountered:

The camera has a decent resolution, and the lens isn’t cheap either, but the photos still don’t come out sharp enough.

Especially when the product is in motion, the text, edges, and outlines all become blurred.

Many people’s first reaction is:

“Is it the camera that’s not working?”

In fact, blurry images often have little to do with a camera’s pixel count.

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On high-speed production lines, as product speeds increase, the requirements for exposure and imaging also rise significantly.

Type one: The focus was never properly adjusted.

This is the easiest to understand.

If the lens focus isn’t on the product’s surface, even a high‑resolution camera can’t capture it clearly.

Especially after the change:

Working distance, lens, product height

Afterward, it is always recommended to recheck the focus.

When commissioning an industrial camera on-site, focusing is often the first step.

A simple method:

Look for fine text, edges, or textures on the subject, then slowly turn the lens’s focus ring until the details are sharpest, and finally lock it in place.

Second type: The product is in motion, but the exposure time is too long.

This is one of the most common issues on high-speed production lines.

For example, the product is rapidly passing by the camera,

During the camera’s exposure, the product has already moved a certain distance.

In the end, the result looks just like a smartphone capturing a moving object:

It’s a ghost image.

Basler’s imaging documentation also explicitly states: when capturing moving objects, an excessively long exposure time can increase motion blur; typically, the exposure time should be shortened to ensure that the object moves only a negligible distance during the exposure.

Simply put:

The faster the product, the shorter the exposure usually needs to be.

But what if the exposure is too short and the image turns out dark again?

At this point, many people will simply crank the Gain up.

This does indeed make it brighter,

However, after the gain is increased,Image noise will also increase accordingly.Basler’s documentation likewise notes that increasing the gain can boost brightness, but it also amplifies image noise.

So the more reasonable approach is generally:

First, brighten the light, then shorten the exposure.

For example:

Increase the light source’s brightness, adjust its angle, and slightly widen the aperture.

If it’s still not enough, consider increasing the Gain.

Third type: The product is fast, but the light source is too weak.

This is actually connected to the previous point.

High-speed detection requires short exposure times to prevent motion blur.

However, the shorter the exposure, the less light the camera receives.

So it would then become:

To capture a clear image → the exposure must be short; but if the exposure is too short → the image becomes too dark.

At this point, an industrial light source with sufficient brightness becomes crucial.

In the machine vision case study provided by Edmund Optics, exposure time is also reduced by increasing effective illumination intensity, thereby accommodating higher production line speeds.

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So often:

It’s not that the camera isn’t good enough; it’s that the lighting wasn’t set up properly.

Fourth type: The lens itself fails to fully exploit the camera’s resolution.

For example:

Cameras already come with 12-megapixel and 20-megapixel sensors,

However, it’s paired with a lens that has relatively low resolving power.

The result is:

The camera can see clearly, but the lens fails to capture the details.

This is also why high-resolution cameras are typically paired with industrial lenses that match their resolution level.

So you can’t just look at:

“How many megapixels does the camera have?”

Still depends on:

Can the camera keep up?

There’s another kind of “blur”—in fact, it’s caused by the shutter.

For objects in high-speed motion, also note:

Global Shutter(Global shutter)andRolling Shutter (Rolling Shutter)

The difference.

When photographing stationary objects, both may be fine.

However, when shooting fast-moving subjects, a rolling shutter may produce distortions such as warping or skewing.

Therefore, for high-speed capture projects, in addition to exposure, it’s also important to consider what type of shutter the camera employs.

The image is blurry—don’t rush to change your camera yet.

You can first check these areas on site:

① Is the focus correct?

② Is the product moving at high speed?

③ Is the exposure time too long?

④ Is the light source bright enough?

⑤ Is the lens’s resolving power mismatched with the camera?

Often, once these issues are resolved,

The original camera can take very clear photos.

Finally, remember this one sentence.

Still shots are blurry—first check the focus and the lens.

If your sports photos are blurry, first check the exposure and lighting.

The camera has high pixel count,

It simply means that it is capable of capturing more details.

What really determines whether the shot will come out clear in the end is,

Often it is:

Camera + lens + light source + exposure + product speed.

So when you encounter blurry images,

Don’t rush to upgrade your camera just yet.

The problem might not be with the camera at all.

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