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        Single Chip 4K Video Processing with Zynq UltraScale+ MPSoC

        This demo highlights the real-time video processing capabilities of Zynq UltraScale+ EV devices, headlined by an integrated H.264/H.265 video codec unit capable of simultaneous 4K encode and decode at up to 60 frames per second.

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        4K60 Dense Optical Flow

        This video demonstration shows the power of Zynq Ultrascale+ MPSoC by running a state-of-the-art Dense Optical Flow algorithm at 4K resolution with 60 frames per second in the programmable logic.

        Computer Vision, Machine Learning and Sensor Fusion in a Single Chip

        This video demonstration combines the three major, complex algorithms commonly used in vision-guided systems today including Convolutional Neural Network (CNN) for object detection or scene segmentation, Dense Optical Flow for motion tracking and Stereo Vision for depth perception, running on a single Zynq Ultrascale+ MPSoC device.

        Embedded Vision and Control Solutions with the Zynq UltraScale+ MPSoC

        An industrial pick and place demo highlights the Zynq UltraScale+ MPSoC equipped with dedicated processing engines for image processing, real-time processing and functional safety.

        4K Video Conferencing with Zynq UltraScale+ MPSoC

        This video demonstrates the 4K video processing capabilities of Zynq® UltraScale+™ MPSoC EV devices. These devices feature an integrated multi-standard video codec capable of simultaneous encode and decode at up to 60 frames per second. With quad ARM® Cortex™-A53 cores for application processing and integrated programmable logic for custom video processing engines, the ZU7EV device shown here is ideal for multimedia applications.

        Zynq UltraScale+ MPSoC: Powerful Video Processing System

        This demonstration showcases the video processing capabilities of the Zynq® UltraScale+™ MPSoC. Using the ZCU102 Development Kit, the Zynq UltraScale+ MPSoC translates Full HD 1080p video input into UltraHD 4K video output while simultaneously running a sobel filter. Power consumption is monitored and optimized.