In visual projects, there's a kind of awkwardness that's very common.

The lab tests are fine.

The sample can also be identified.

The algorithm's results are quite accurate, too.

But as soon as it was put into production and the takt time started increasing, the system began to fall behind.

It's not that it can't be detected.

The workpiece has already left before the inspection was completed.

It was only then that I realized:

Detecting something and having enough time to detect it are two different things.

I. Don't just look at the camera's FPS.

When choosing a camera, many people first ask:

“How many frames per second does this camera have?”

Frame rate is certainly important.

However, the rhythm of the visual system isn't determined solely by the camera's FPS.

A complete process includes:

· Trigger photo capture;

· Image exposure;

· Data transmission;

· Algorithm processing;

· Result output;

· PLC reception;

· Actuator action.

If any single link is slow, the entire system will be slow.

So, this is what people on-site fear most:

The camera frame rate is sufficient.

The algorithm is sufficient even when tested separately.

But when the entire process is put together, the tempo isn't sufficient.

II. The Most Common Pitfalls When Choosing a Beat Pattern

1. Only count the photo-taking time.

Many projects initially focus solely on whether the camera can capture images quickly.

But once it’s actually online, the images still need to be transmitted, processed, analyzed, and communicated.

These all take time.

If you only count the photo-taking part and not the subsequent processes, the result will definitely be on the optimistic side.

2. Ignore exposure time

Some projects extend the exposure time to make the images brighter.

The image is beautiful.

But the tempo has also slowed down.

In high-speed production lines, exposure time isn't just added arbitrarily.

The light source, lens, camera, and motion speed must all be considered together.

3. The algorithm is accurate, but it runs slowly.

High detection accuracy is certainly great.

But if the algorithm's processing time exceeds the production line's takt time, it still can't be used.

The industrial site isn't a place for you to calculate slowly.

What it wants is a result within the specified time frame.

Right, but it’s too slow and could also lead to an accident.

III. How exactly should beats be counted?

Don't just ask:

“Is the camera fast enough?”

One should rather ask:

How long does it take from triggering to producing the output result?

Simply put, to calculate the complete closed-loop time:

How long does it take to take the photo?

How long does the transmission take?

How long does the algorithm take?

How long does the communication take?

How long does the executing agency take?

When you add them all up, that’s what truly constitutes the visual beat.

If a product comes along every 100 milliseconds on the production line, but the vision system takes 150 milliseconds to deliver a result, no matter how accurate the algorithm is, it won't make any sense.

Because the production line won't stop waiting for you.

IV. A Simple Judgment

If the production line isn't fast and the inspection task is simple, a standard frame rate might be sufficient.

If it’s high-speed online detection, you must calculate the entire cycle in advance.

If the image resolution is high and the number of cameras is large, you should also consider the strain on transmission and processing.

If you still need to perform removal, positioning, and guidance, you’ll have to factor in the PLC and mechanism response times as well.

One sentence:

A beat is not a parameter—it’s a link.

The slowest link in the chain determines the system's upper limit.

V. Pitfall Checklist

Before selecting a beat, first make sure you’ve clarified:

1. How many products does the production line process per second?

2. How many photos does the camera need to take?

3. What is the exposure time?

4. How long does image transmission take?

5. How long will the algorithm take to process?

6. How long does PLC communication take?

7. How long does it take for the executing agency to respond?

8. Are multiple cameras working simultaneously?

9. Is it necessary to leave a stability margin?

If these issues aren't addressed in advance, you'll only be able to provide on-site remedial lessons once the system goes live.