FZ5 Card
AMD Zynq UltraScale+ XCZU5EV, AI Accelerator Card
AMD/Xilinx Zynq UltraScale+ ZU5EV MPSoC
1.5 GHz Quad Arm Cortex-A53 and 600MHz Dual Cortex-R5 Cores
8GB DDR4 SDRAM (64-bit, 2400MHz)
32GB eMMC, 64MB QSPI Flash, 32KB EEPROM
RS232, RS485, 4 x USB 3.0, Gigabit Ethernet, CAN, TF, DP, HDMI-IN, JTAG…
Computing Power up to 2.4TOPS, Runs at 55 FPS for ResNet-50
Supports 8- to 16-channel Video Decoding and 4- to 8-channel Intelligent Analysis
Supports Running PetaLinux
AMD Approved Adaptive Computing Partner
Powerful and Comprehensive, FZ5 AI Accelerator Card
The FZ5 AI Accelerator Card, powered by the Xilinx Zynq UltraScale+ MPSoC XCZU5EV, integrates a 4-core Cortex-A53 processor and cutting-edge FPGA technology. It boasts 2.4TOPS computing power, compatibility with 55 FPS ResNet-50, 8GB DDR4 memory, and 32GB eMMC storage. Featuring DP, USB, HDMI, and GigeNet interfaces, it supports 8-16 video decoding and 4-8 intelligent analysis channels. Its robust AI capabilities enable precise recognition of faces, bodies, animals, objects, text, logos, and customized scenarios.
Single Board Computer - FZ5 AI Accelerator Card
The FZ5 Card is an excellent Artificial Intelligence (AI) accelerator card based on Xilinx Zynq UltraScale+ ZU5EV MPSoC which features a 1.5 GHz quad-core ARM Cortex-A53 64-bit application processor, a 600MHz dual-core real-time ARM Cortex-R5 processor, a Mali400 embedded GPU, a H.264/H.265 Video Codec Unit (VCU) and rich FPGA fabric. It has computing power up to 2.4TOPS and can be seamlessly used with 55 FPS ResNet-50 backbone networks.
Besides, the FZ5 Card has integrated 8GB DDR4, 32GB eMMC, 64MB QSPI Flash and 32KB EEPROM as well as many peripheral interfaces including RS232, RS485, 4 x USB 3.0, Gigabit Ethernet, CAN, TF, DisplayPort (DP), HDMI-IN, USB-UART, JTAG, IO expansion interfaces, etc . It is easy for your secondary development or used for your AI box or many other embedded designs.
The FZ5 Card is able to run PetaLinux 2019.1 and provided with complete Linux BSP. It can also supports PaddlePaddle AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio and EasyEdge to enable developers and engineers to quickly leverage Baidu-proven technology or deploy self-defined models, enabling faster deployment.
MYIR also offers an FZ5 EdgeBoard AI Box for the FZ5 Card which has a rugged and fanless enclosure to enable efficient development for many embedded vision applications such as multimedia, automotive ADAS, surveillance, industrial quality inspection, medical diagnosis, etc. The device can support -40 to 70 Celsius degree extended working temperature with small size and good stability. It has powerful AI capabilities to provide massive and iterative models to realize the image recognition of face, human body, animal, object, text, logo and various customized scenes.
The Versatile Applications of the FZ5 Card and the FZ5 EdgeBoard AI Box
The FZ5 Card and the FZ5 EdgeBoard AI Box, are suitable for a wide range of applications including intelligent security, industrial inspection, medical diagnosis, unmanned aerial vehicle inspection, scientific research, consumption, unmanned driving, and more.
Industrial Quality Inspection
Security Monitoring
Scientific Research and Education
Autonomous Driving
Medical Diagnosis
Intelligent Retail
Hardware & Software
Item | Description |
---|---|
Processor | Xilinx Zynq UltraScale+ XCZU5EV-2SFVC784I (ZU5EV, 784 Pin Package) MPSoC - 1.5 GHz 64 bit Quad-core ARM® Cortex™-A53 Application Processing Unit - 600MHz Dual-core ARM® Cortex™-R5 Real-time Processing Unit - ARM Mali™-400 MP2 Graphics Processing Unit (GPU) - H.264 and H.265 Video Codec Unit (VCU) - 16nm FinFET+ FPGA fabric |
Memory | 8GB DDR4 (64-bit, 2400MHz) |
Storage | 32GB eMMC 64MB QSPI Flash 32KB EEPROM 1x Micro SD card slot |
PCB | 14-layer PCB design |
Power Supply | DC 12V/3A |
Dimensions | 107mm x 96mm |
Working Temperature | -40℃~+85℃ |
Serial Ports | 1x USB-to-UART Port 1x RS232 1x RS485 |
Ethernet | 1x 10/100/1000 Mbps Ethernet |
USB | 4x USB 3.0 Host |
CAN | 1x CAN Interface |
Display | 1 x HDMI In port 1 x Mini DisplayPort (DP), 4K/30fps |
User I/O | 1 x FPC_40PIN (Reserved for MIPI-CSI) 1 x 1.27mm pitch 2 x 50-pin IO Expansion Interface (5 x PS_MIO, 69 x PL_IO) |
Buttons | 1x FPGA Reset Button 1x System Reset Button |
LEDs | 5x LEDs - 1x Power LED - 4x Status LEDs (2 x Red, 2 x Green) |
JTAG | 1x 2.54mm pitch 6-pin header |
RTC | 1x 3V Rechargeable RTC Battery Interface (battery is not soldered by default, Model MS621T is recommended) 1 x 1.5V Non-Rechargeable RTC Battery Holder (battery is not provided by default, Model AG3 or LR41 is recommended) |
Item | Features | Description | Source Code |
---|---|---|---|
Boot program | BOOT.BIN | First boot program including FSBL and u-boot2019.01 | YES |
Linux Kernel | Version | Linux 4.19.0 | YES |
Drivers | USB2.0/3.0 Host | USB2.0/3.0 Host driver | YES |
Ethernet | Gigabit Ethernet driver | YES | |
MMC/SD/TF | MMC/SD/TF card driver | YES | |
QSPI Flash | QSPI Flash driver | YES | |
CAN | CAN driver | YES | |
DP | DP driver | YES | |
I2C | I2C driver | YES | |
Button | Button driver | YES | |
UART | UART driver | YES | |
LED | LED driver | YES | |
GPIO | GPIO driver | YES | |
Watchdog | Watchdog driver | YES | |
HDMI | HDMI In driver | YES | |
File System | Ramdisk | Ramdisk system image | |
Rootfs | Buildroot making including Qt | YES | |
Tool Chains | gcc 8.2.0 | gcc version 8.2.0 | |
gcc 5.2.1 | gcc version 5.2.1 (Linaro GCC 5.2) | ||
Application | HDMI | HDMI In example | YES |
CAN | CAN example | YES | |
NET | Socket example | YES | |
PetaLinux | Petalinux2019.1 | Supports Xilinx Petalinux2019.1 development tools. MYIR provides complete BSP for the FZ5 card. |
Ordering
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