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Streaming-based architecture provides high performance and low power consumption, chained image processing functions reduce external memory accesses, video-optimized line and window caches are simpler and more efficient than processor caches, and easier to use VivadoHLS in FPGAs Parts are implemented using data flow optimization.

And for performance reasons, the architecture based on OpenCV is more complex and consumes more power. OpenCV image processing is built on the memory frame cache, it always assumes that the video frame data is stored in the external DDR memory, therefore, OpenCV has poor performance for accessing local images, because the processor's small cache performance is not enough to complete this Task. OpenCV seems to be sufficient for many applications when the resolution or frame rate requirements are low, or when processing the required features or regions in larger images, but for high-resolution high-frame-rate real-time processing scenarios, It is difficult for OpenCV to meet the demands of high performance and low power consumption.

XQ7V690T-2RF1761I_XCV100-4FG256C looking for [Aerospace Military Industry]

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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 Smart NIC platform provided by Xilinx is easy to deploy, with one-stop application acceleration and out-of-the-box capabilities that go far beyond basic networking, which can help users easily meet the challenges brought about by growing networking requirements. Donna Yasay, Vice President of Marketing, Data Center Business Unit, Linx, said: "Current cloud infrastructures suffer from critical data bottlenecks caused by server I/O. Up to 30%_ of data center computing resources are allocated for networked I/O processing, and the overhead continues to grow with the number of CPU cores.

"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.

DRAGEN Complete Suite - Ultra-Fast Analysis of Next Generation Sequencing - Exome The DRAGEN Complete Suite (Exome) enables next generation sequencing (NGS) data on large datasets such as whole exomes and target groups.

XQ7V690T-2RF1761I_XCV100-4FG256C looking for [Aerospace Military Industry]

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XQ7V690T-2RF1761I_XCV100-4FG256C looking for [Aerospace Military Industry]

A highly integrated and fully programmable single-chip platform can reduce unit costs, improve economies of scale, and shorten development cycles, thereby changing the landscape of ADAS development and ultimately ensuring ADAS adoption. As the market demands more and more stringent ADAS solutions, the industry must implement appropriately sized underlying components by increasing integration, optimizing performance, and creating a common ADAS-optimized platform, ensuring support for different applications, and the ability to customize.

The need to reduce the cost of chips, reduce the risk of shooting, and shorten the time to market will further erupt. Against competitors like Intel and NVIDIA, you should focus on Xilinx's core competency, which is at the hardware level, it can be flexible and adaptable according to different workloads and forces, rather than traditional domain and competition. This is equivalent to the successful promotion of Xilinx, and will have higher competition with companies such as Intel and Nvidia. As a larger competitor, Altera has joined Intel in 2015, and Xilinx's new competitors have become Intel, NVIDIA and others. As current chip manufacturing processes become more complex and chip designs become more complex, initial costs for chip design manufacturers have skyrocketed, and the risks of tape have further increased.

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