In industrial machine vision systems, many people initially focus on algorithms, lenses, and light sources. However, the fundamental parameter that truly determines whether the system operates efficiently and stably is often the camera frame rate. Without a thorough understanding of frame rate, factors such as acquisition speed, real-time performance, and system stability will all be compromised.

Today, we'll explore three key dimensions to fully understand industrial camera frame rates: what they truly are, how to configure them, and why some settings may still fail to achieve optimal performance.

1. First, understand: What is frame rate?

Frame rate, abbreviated as FPS (Frames Per Second), indicates the number of frames the camera captures or transmits per second.

The meaning of frame rate varies slightly depending on the type of camera:

Array camera: The frame rate indicates how many complete images are captured per second;

Line array camera: The frame rate typically corresponds to the "line rate," which refers to the number of image lines captured per second.

You can put it more plainly:

The higher the frame rate, the faster the camera captures images, the more timely the frame updates, and the smoother the system response.

This is precisely why frame rate serves as an indispensable core metric in scenarios such as high-speed detection, dynamic target recognition, and online measurement.

II. Frame rate isn't just a random number to fill in: You must understand the configuration method.

In common industrial camera software such as MVS, there are three primary parameters related to frame rate.

1）Acquisition Frame Rate Control Enable

This is the frame rate control switch. Only when enabled will your set frame rate parameters take effect.

Remember in one sentence:

If you don't turn on this switch, the subsequent settings will be essentially ineffective.

2）Acquisition Frame Rate

This is the target frame rate setting—the frame rate you want the camera to operate at.

3）Resulting Frame Rate

This is the actual frame rate. It dynamically adjusts based on current operating conditions, reflecting the camera's true operational speed at that moment.

There are several critical reasoning principles here:

If the frame rate control switch is not enabled, the camera will operate at its maximum supported frame rate.

If the frame rate you set exceeds the camera's actual capabilities, the final frame rate won't strictly match the specified value but will depend on real-time conditions.

If the frame rate you set is lower than the camera's actual capability, the camera will operate stably according to your specified value.

One of the most easily overlooked aspects when adjusting parameters is:

The "set frame rate" does not equal the "actual frame rate." What truly matters is the Resulting Frame Rate.

3. Why can't the game run properly even with the frame rate set?

This is one of the most common problems encountered on-site.

Even though the parameters were set and the switch was turned on, the system still failed to achieve the expected frame rate. The issue usually lies not in whether the settings were applied, but rather in whether other constraints are limiting its performance.

The following factors are all key elements that influence frame rate.

1) Image readout time

The image is read from the sensor, a process that inherently requires time. This duration is closely related to the sensor's characteristics and the image resolution.

Generally speaking:

The smaller the image, the faster it reads and the higher the frame rate.

In some applications, appropriately reducing the image area often results in significant speed improvements.

2) Exposure Time

When the exposure time is prolonged, the frame rate tends to become sluggish.

Exposure itself consumes part of the acquisition cycle. When the exposure time exceeds 1/maximum frame rate, the frame rate typically decreases significantly.

To put it more directly:

You can't just speed things up arbitrarily; if the exposure time is too long, the camera has to wait accordingly.

3) Pixel Format

Different pixel formats result in varying data volumes. Larger data sizes increase transmission load, making it more challenging to achieve higher frame rates.

For example, the same image:

Higher digit count, more data;

More data means busier links;

A bus that is more busy may result in a lower frame rate.

Therefore, the pixel format is not merely an image quality parameter; it also directly affects performance speed.

4) Bandwidth

Interface bandwidth and link speed directly determine frame rate performance.

The greater the bandwidth, the more data can be transmitted per unit time, making it easier to increase the frame rate. Conversely, once the link becomes a bottleneck, even the highest configured value remains merely a theoretical parameter.

5) Non-destructive compression function

Some cameras first perform lossless compression before transmitting the data to a PC, where decoding is performed.

The benefits of doing so are:

To some extent, this reduces transmission pressure and thereby improves frame rate performance.

For scenarios with limited bandwidth, this represents a noteworthy optimization direction.

6）ADC accuracy

Higher ADC accuracy typically requires larger data volumes. Increased data volume raises processing and transmission demands, potentially reducing frame rates.

Therefore, in many cases, a balance must be struck between higher precision and greater speed.

4. To increase the frame rate, these methods are highly practical.

When the camera's actual frame rate falls short of expectations, don't immediately blame the device. Instead, start troubleshooting and optimizing from the following aspects—this approach is often more effective.

Method 1: Adjust Pixel Format

For example, reducing the data size from 12 bits to 8 bits directly decreases the amount of data. With lighter data, transmission load is reduced, making it easier to achieve higher frame rates.

The premise is that the image resolution still meets the current application requirements.

Method 2: Reduce exposure time

Excessive exposure time is a frequent cause of reduced frame rate. When imaging conditions permit, appropriately shortening the exposure duration often directly improves performance.

Method 3: Bandwidth Optimization

Check the interface bandwidth and link speed, and adjust the packet size as needed. Many cases of inexplicable full capacity issues ultimately trace back to the transmission link.

Method 4: Reduction of ADC accuracy

If the project does not require high precision, the ADC resolution can be appropriately reduced to achieve higher acquisition speed.

This is essentially a typical trade-off:

While meeting requirements, achieve higher efficiency with appropriate precision.

V. At its core, frame rate represents a balance between speed and quality.

Frame rate is never an isolated parameter; it fundamentally determines the speed, image quality, transmission capacity, and stability of the entire machine vision system.

Understanding the frame rate reveals the system's performance limits. Mastering frame rate configuration enables you to handle various scenarios with greater ease. Identifying the influencing factors allows you to quickly pinpoint the right optimization direction on-site.

Finally, here's a very practical tip:

A machine vision system does not merely pursue a "higher frame rate," but rather aims for the "most suitable frame rate for the current task."

Running fast is crucial. Staying steady in execution is equally important. Truly outstanding systems often strike a balance between the two.