Faster image processing

Having built up extensive knowledge on FPGA programming, the company reports that it has achieved up to 20 times faster performance in various successfully concluded customer projects. These results are enabled by the versatile system on chip (SoC) architecture in VC Z series embedded vision systems.

The cameras feature a Xilinx Zynq SoC that comprises an 866MHz dual-core ARM processor and an FPGA, which can carry out image processing tasks in parallel. Using Xilinx’ Vivado HLS tool, Vision Components programs the integrated circuit in C and C++, and can draw on its own software library.

Users can test all programmed functions in advance in a simulation environment and debug the script, if necessary. This simplifies troubleshooting and reduces development time. Vision Components believes FPGA programming, therefore, promises to become much more accessible to machine vision developers in future. Vision Components offers support and – in regular workshops – professional training to those who want to explore the potential of FPGA programming.