Workshop by Vision Components and Efinix: FPGA Programming for Embedded Vision

23.04.2024
Ettlingen near Karlsruhe

Vision Components and Efinix present the joint hands-on workshop "FPGA Programming for Embedded Vision" on April 23, 2024. It is aimed at FPGA programmers for advanced training in the field of image processing and at vision experts, who want to expand their skills in the implementation of image processing algorithms on FPGAs. In the extensive hands-on part, participants will use demo kits and case studies to work on typical applications such as image storage, image enhancement, color space conversion and pattern recognition. The one-day workshop will take place at Vision Components in Ettlingen near Karlsruhe, Germany. The language of the event is English.

Further information and registration can be found here.

FPGAs and embedded vision complement each other perfectly: both technologies combine high computing power with low power consumption and ultra-compact design. With real-time capability and parallel processing of large amounts of data, FPGAs also enable the execution of complex algorithms directly on edge devices. Embedded vision with FPGAs therefore offers an ideal basis for autonomous robots, quality assurance tasks and automation. At the same time, once developed, FPGA algorithms can be easily ported to new hardware designs, ensuring a high degree of investment security and re-use of existing development efforts.

Hardware design, programming and implementation

In the workshop, Efinix and Vision Components will demonstrate the latest developments in technology and principles for design-in and FPGA programming with Verilog. Synchronous and asynchronous FPGA designs, control units, synchronization and timing will be covered as well as syntax and programming style with Verilog. The speakers, including Michael Engel, VC company founder, and Harald Werner, Managing Director & Senior Sales Director EMEA of EFINIX, will also discuss the function and implementation of the FIFO principle and working with the AXI Stream Interface. The practical part with demonstrators based on a Raspberry Pi, the VC Power SoM accelerator board with Efinix Trion FPGA and a VC MIPI camera module will provide participants with the necessary know-how to develop their own applications and use them in projects.