Calculate 3D Capture Speed

The time it takes a Zivid camera to capture and process a point cloud is a function of:

• Vision engine

• Number of acquisitions

• Exposure time and aperture of each acquisition

• Filters

• Processing power of the connected hardware

The calculator allows you to estimate 3D image acquisition time of a Zivid camera. This is the amount of time the camera and scene must remain still relative to each other. The 3D image acquisition time is the time it takes for the capture API to return.

In addition we have benchmarked a number of different settings on different hardware. These results include all of the above.

For more information about the point cloud capture process please see Point Cloud Capture Process.

Warning

Be aware that using the Zivid camera at a high duty cycle can trigger thermal throttling to prevent overheating. For more on this topic check out the projector brightness page.

Camera Benchmarks

Below you will find benchmarks of different camera presets with different type of hardware. You can adjust cameras, configuration, and display options to find the data most interesting for you.

Note

Note that settings with the same name may differ across camera models. For more information about recommended hardware please see Recommended Industrial PCs.

You can check your acquisition and total capture time in Zivid Studio and via the SDK.

C++

source

const auto frame = camera.capture2D3D(settings);
const auto frameInfo = frame.info();
std::cout << "Acquisition time:" << std::endl;
std::cout << std::chrono::duration_cast<std::chrono::milliseconds>(
                 frameInfo.metrics().acquisitionTime().value())
                 .count()
          << " ms" << std::endl;
std::cout << "Capture time:" << std::endl;
std::cout
    << std::chrono::duration_cast<std::chrono::milliseconds>(frameInfo.metrics().captureTime().value()).count()
    << " ms" << std::endl;

C#

source

using (var frame = camera.Capture2D3D(settings))
{
    var frameInfo = frame.Info;
    Console.WriteLine("Acquisition time:");
    Console.WriteLine(frameInfo.Metrics.AcquisitionTime.Milliseconds + " ms");
    Console.WriteLine("Capture time:");
    Console.WriteLine(frameInfo.Metrics.CaptureTime.Milliseconds + " ms");

Python

source

frame = camera.capture_2d_3d(settings)
frame_info = frame.info
print("Acquisition time:")
print(f"{frame_info.metrics.acquisition_time.total_seconds() * 1000:.0f} ms")
print("Capture time:")
print(f"{frame_info.metrics.capture_time.total_seconds() * 1000:.0f} ms")

You can also run our C++ sample ZividBenchmark.cpp to benchmark with your hardware.

Version History

SDK	Changes
2.12.0	Capture time with colors enabled is reduced up to 10-20% with low-end GPUs. 3D acquisition time on Zivid 2+ is reduced by about 5%.
2.9.0	Capture function returns when the acquisition is done.
2.8.0	Improved capture speed of Zivid 2.