In the following section, we go over two different solutions as shown in figure 1: For computationally intensive application such as video processing, the heavy algorithms can be offloaded to the FPGA for acceleration. The main advantage of using Zynq device is the flexibility of using a hardened multi core ARM processor alongside programable logics. In addition, the ZU7EV device includes a H.264/H.265 Video Codec Unit (VCU) which can perform video compression and decompression of real time 4K 60Hz video. The board has a wide range of peripherals – that include HDMI 2.0 IN/OUT, QSFP+, DisplayPort, Ethernet, USB 3.0 - which make this board ideal for a 4K Ultra HD video conferencing project. Now that we know why FPGAs are superior, let’s check out an example design for a 4k Ultra HD video conferencing using FPGAs.Īldec’s solution for 4K video conferencing using Zynq FPGAĪldec’s TySOM product line includes Xilinx Zynq-7000 and US+ MPSoC FPGA-based embedded development boards and FMC daughter cards.įor this project, we have used a TySOM-3-ZU7EV device which includes a XCZU7EV device on it. This reconfigurability also lets us optimize the image processing algorithm anytime we need to. You can configure anytime the direction, voltage, slew rate, speed and terminations. Lastly, FPGA reconfigurability means faster time to market and reduces overall costs compared to an ASIC. On the other hand, the low power and low latency, which comes through not being tied to a pre-built architecture, wins over GPUs. FPGAs can easily support massive parallelism, thanks to the high number of I/O pins and the flexibility of designing any module in pure hardware. Let’s now discuss why FPGAs are the best choice for 4K Ultra HD image or video processing briefly but if you want a more detailed explanation, I strongly recommend you give an earlier blog I wrote “FPGA vs GPU for Machine Learning Applications: Which one is better?” a read. These are the most important requirements for an embedded system responsible for image/video processing. Of these, the last is proving increasingly popular.įPGAs deliver high performance, low latency, low power and are reconfigurable. In this blog, you’ll learn all you need to know to start developing a 4K video conferencing project using FPGAs.Īre FPGAs the Right Choice For 4K Ultra HD Image/Video Processing?īecause of the high volume of data and the computationally intensive algorithms in 4K Ultra HD image/video applications, there are four main candidates for the processing technology: GPU, CPU, ASIC or FPGA. Being low power yet high performance, FPGAs, have shown a strong potential to tackle these challenges.
Another bottleneck is power consumption particularly for embedded devices where power is critical. This requires a high-performance system to process 4k frames in real time. As an example, a 4K frame size is 3840 x 2160 pixels (8.5 Mpixel) and is refreshed at a 60Hz, equating to about 500 Mpixel/sec. There are, however, many technical challenges in developing systems to process 4k Ultra HD resolution data. 4K consumers are everywhere, from live sport broadcasting to video conferencing on our mobile devices. With this standard, the pixilation problem was solved in the big screens. 4k Ultra HD brings us bigger screens which give an immersive feeling. After the emergence of 4K ultra high definition (Ultra HD) imaging in the market, it became the main standard for today’s multimedia products.
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Achieving higher resolution is a never-ending race for camera, TV and display manufacturers.
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