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Using Xilinx's VivadoHLS high-level language synthesis tool, you can easily convert OpenCV C video processing design to RTL code, output Zynq's hardware accelerator or directly implement real-time hardware video processing on FPGA. OpenCV has thousands of users, and OpenCV is designed to run on ARM processors of Zynq devices without modification, but high-definition processing using OpenCV is often limited by external memory, especially memory bandwidth can become a performance bottleneck, Memory access also limits power efficiency.

Recently, as the head of the CEO, Peng Rongkui introduced Cylinth's future vision and strategic blueprint for the first time, and released a new breakthrough product that surpasses FPGA-ACAP (AdaptiveCompute Acceleration Platform, AdaptiveCompute Acceleration Platform), which enables Cylinth Inspiration goes beyond the limitations of FPGAs to support the rapid innovation of many different technologies from end-to-edge to cloud. Since joining Xilinx in 2008, the company has won the championship for three consecutive times in the 28 nm, 20 nm and 16 nm three-generation process products, and won the first place in the industry. Broad application field development.

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Accelize provides a DRM-enabled distribution platform for FPGA-accelerated applications and IP cores, increasing revenue for customers worldwide through instant, scalable and secure deployment. The platform supports any CSP such as AWS, Huawei, Alibaba, Nimbix or Xilinx Alveo boards for on-premises deployment.

Flexible, upgradable Xilinx FPGAs allow us to rapidly respond to changing image sensor interfaces, add dedicated imaging processing capabilities, while also providing the parallel processing required for powerful, flexible, custom high-resolution image and video processing Function. Xilinx industrial imaging solutions enable rapid prototyping, simplify development and dramatically reduce time-to-market for high-resolution videoconferencing, video surveillance, and machine vision systems.

The Industrial Video Kit is a comprehensive development system consisting of a Spartan® FPGA development board with a video interface, hardware and software design tools, and reference designs for easy and fast development. A broad portfolio of IP cores including flexible image processing modules, system-level IP, and IP dedicated to industrial imaging systems reduces development time and costs. Give your designs a competitive edge with Xilinx comprehensive imaging solutions.

"The automotive-grade Zynq-7000 All Programmable SoC combines an FPGA and a high-performance embedded processor, making it the most efficient solution for real-time computer vision applications," said Roberto Marzotto, a design engineer at eVS. Applications require high-intensity low-level pixel computation and advanced complex control algorithms, with optimal partitioning between software/hardware.

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OpenCV does not have a data structure for vectors, but when we want to represent vectors, we need to represent them with matrix data. However, CvMat is more abstract, and its element data types are not limited to basic data types, but can be any predefined data types, such as RGB or other multi-channel data. In openCV, the CvMat and IplImage types are more focused on "images", especially with a certain degree of optimization for image operations in them.

Embedded ARM processors provide unique, critical control-plane processing capabilities to support emerging bare-metal server use cases. Standard full-featured NIC solution and driver with patented Onload™ application acceleration software reduces latency by up to 80% and improves efficiency for Transmission Control Protocol (TCP)-based server applications in cloud applications—maximum up to 400%. The U25 SmartNIC platform supports “bump-in-the-wire” seamless embedding of networking, storage, and compute offload and acceleration, which avoids unnecessary data transfers and CPU processing to maximize efficiency . Relying on Xilinx's industry-leading FPGA technology, the Alveo U25 SmartNIC platform can provide higher throughput and a more powerful adaptable engine than SoC-based NICs, enabling cloud architects to quickly create multiple types of functions and applications. Speed up. Basic NICs provide ultra-high throughput, small packet performance, and low latency. This also significantly reduces the burden on the CPU and frees up more resources to run more applications.

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