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The USB3 Vision Device Core is tailored for FPGA architectures, facilitating efficient data transmission using USB3 protocols. It is particularly advantageous for applications requiring high data throughput and low latency. As a customizable and compact solution, it is delivered as a functional reference design, simplifying the development process for seamless integration into diverse industrial setups.
The GigE Vision Device Core is designed for seamless integration with FPGA platforms, enhancing image and video transmission capabilities over GigE Vision standards. It features a highly compact and customizable architecture, making it suitable for a wide range of industrial applications. By being delivered as a working reference design, the IP Core accelerates the development process and ensures reliable performance across diverse environments.
The IMX Pregius Sub-LVDS Core is crafted for handling image data from Sony Pregius sensors, focusing on data deserialization and decoding for FPGA systems. This IP core facilitates significant flexibility and rapid development with its working reference design, making it essential for high-precision imaging applications. Compatible with AMD FPGAs, it is an optimal solution for complex imaging requirements in industrial and medical fields.
The MIPI CSI-2 Receiver Core offers a seamless interface for FPGA applications needing to connect with MIPI CSI-2 image sensors. It supports efficient image sensor data transmission, making it ideal for industrial imaging systems. Delivered as a complete working reference design, it reduces development time and enhances system performance across a range of applications requiring robust and high-speed image capture solutions.
Engineered for FPGA implementations, the CoaXPress Device Core facilitates high-speed image data transmission. It supports robust transmission over CoaXPress standards, ideal for industries with demanding data transfer needs. The core comes as a complete working reference design, enabling rapid development and deployment. Its flexibility and efficiency are pivotal for high-performance image processing environments.
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