General

The carrier-board used in this test: MBa8Mx from TQ-Systems GmbH

Note

If you are looking for more information and guidance about installing Impact Acquire packages via the Yocto Project, please choose an API-manual suited for your programming language and then go to chapter "Installation From Private Setup Routines → Embedded Linux → Yocto Project". All API-manuals can be found under https://www.balluff.com/en-de/online-manuals-mv.

Test Setup

Note

The i.MX8M Mini doesn't have a USB3.0 host controller. USB3 Vision™ devices can therefore operate with USB2.0 speed only.

Benchmarks

The following tests have been performed using different de-Bayering scenarios to achieve the max. FPS while maintaining 0 lost images. The CPU load during the acquisition is also documented below.

Scenarios that have been tested are listed as follows:

1. When de-Bayering is carried out on the camera: The camera delivers RGB8 image data to the host system. This setting results in a lower CPU load but a lower frame rate.
2. When de-Bayering is carried out on the host system: The camera delivers Bayer8 image data to the host system. The Bayer8 image data then get de-Bayered to RGB8 format on the host system. This setting results in a higher frame rate but a higher CPU load as well.
3. When no de-Bayering is performed: The camera delivers Bayer8 image data to the host system. No de-Bayering is performed. This settings results in a lower CPU load and a higher frame rate. The behavior is identical to monochrome cameras.