DK-Z7-VIDEO-CES-G
DK-Z7-VIDEO-CES-G ECAD Model
DK-Z7-VIDEO-CES-G Attributes
| Type | Description | Select |
|---|---|---|
| Mfr | AMD Xilinx | |
| Series | Zynq®-7000 | |
| Package | Box | |
| Type | FPGA + MCU/MPU SoC | |
| For Use With/Related Products | XC7Z020 | |
| Platform | Zynq-7000 AP SoC ZC702 Video and Imaging CES | |
| Contents | Board(s), Cable(s), Power Supply, Accessories | |
| Interconnect System | FMC, Pmod | |
| Suggested Programming Environment | ISE, Vivado | |
| Base Product Number | XC7Z020 |
DK-Z7-VIDEO-CES-G Datasheet Download
DK-Z7-VIDEO-CES-G Overview
The Xilinx model 'DK-Z7-VIDEO-CES-G' is a comprehensive development kit designed to provide video processing and connectivity solutions. The kit includes a Zynq-7000 All Programmable System on a Chip (SoC) and several advanced video processing peripherals, such as HDMI receiver/transmitter and camera sensor interfaces.
The kit is specifically designed for applications requiring advanced video processing and analysis, such as embedded vision, machine learning, and multimedia processing. It can also be used for prototyping, system characterization, and hardware acceleration.
The DK-Z7-VIDEO-CES-G development kit is equipped with 1 GB DDR3 SDRAM, 256 MB Quad-SPI Flash memory, and 8 GB eMMC Flash memory. It has USB 2.0, Gigabit Ethernet, and Micro SD card interfaces for easy connectivity. The board also features several expansion connectors for adding additional peripherals, such as FMC, Pmod, and Arduino shields.
One of the key features of the kit is the Programmable Logic (PL), which allows for custom hardware acceleration of video processing algorithms such as image recognition or object detection. The embedded processing system (PS) implemented on ARM Cortex-A9 processor core provides software programmability and control of different peripherals.
Overall, the DK-Z7-VIDEO-CES-G is a versatile video processing tool that can be used in a wide range of applications. Its flexible hardware and software customizability make it an excellent choice for researchers, developers, and engineers seeking solutions that can streamline video analysis processes.
