For video walls, video streaming is typically handled by a video controller that buffers a video stream from standard interfaces such as HDMI or DisplayPort into a frame buffer and then transmits it via Ethernet to the video wall.
For such a video controller, we took on the system development at the SoC level, including FPGA design, Embedded Linux, Linux drivers, and a userspace application for control and diagnostics.
We developed a PCI card designed for the evaluation of FPGA-based signal processing algorithms, supporting various analog-to-digital converters as well as copper-based data transmission methods, such as Ethernet and RS422, over distances of up to 200 m.
It supports various analog-to-digital converters as well as copper-based data transmission methods, such as Ethernet and RS422, over distances of up to 200 m.
For the testing and validation of LED headlight control units, we have developed several modular control unit testers that capture and analyze data traffic between control units and headlights, and enable targeted fault injection.
A Qt-based application for visualization, along with integration into CANoe, enables convenient operation and comprehensive analysis.