As a result, a separate PC is no longer needed for image processing, saving space and costs while simplifying
system design and integration. This mainly benefits applications in the area of quality inspection and process
monitoring where large amounts of data must be processed within very short time periods for vision-at-the-edge
computing. Thanks to the NVIDIA Jetson Nano or Xavier NX modules with special AI cores and graphic processors
that are used, there are no limits to the flexible implementation of AI-based systems.
The AX smart cameras rely on the latest Sony CMOS sensors with 3.2 or 5 megapixel resolution to capture up to 77
frames/s of fast processes with high image quality and sensitivity as well as low noise.
Fit for harsh environment
Linux-based, they support the respective application requirements of any programming language and allow the use
of different image processing libraries and application programming interfaces (APIs). The compatibility with
GenICam as well as M12-Ethernet and RS232 connections ensure easy, reliable, and efficient integration. To make
the entire computing power available to image processing algorithms, FPGA-based features such as auto exposure
and auto white balance automatically provide the best image quality for the respective application. With four
opto-decoupled power outputs and an output performance of up to 120 W (max. 48 V/2.5 A), external illumination
can be directly and cost-effectively controlled without external controllers. The optional patented tube system
quickly and reliably protects cameras and lenses even in rough environments up to IP 67 protection. Short
exposure times from 1 µs also allow the precise detection of very fast movements.
Find out more now!
Vision 2021 – Hall 8, Booth D40
Stuttgart, 2021, October 5 - 7