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Development Environment

Xilinx SDSoC (1)

Solutions

MYD-Y6ULX-CHMI (i.MX 6UL/6ULL) (1)

MY-EVC5100S-HMI (TI AM335x) (1)

FZ5 EdgeBoard AI Box (Xilinx ZU5EV) (1)

Single Board Computers

MYS-6ULX (NXP i.MX 6UL/6ULL) (2)

Rico Board (TI AM437x) (1)

FZ5 Card (Xilinx ZU5EV) (1)

FZ3 Card (Xilinx ZU3EG) (1)

Z-turn Board (Xilinx Zynq-7010/20) (1)

Z-turn Lite (Xilinx Z-7007S/7010) (1)

MYS-SAM9X5 (Atmel SAM9X5) (1)

MYS-SAM9G45 (Atmel SAM9G45) (1)

MYS-S5PV210 (Samsung S5PV210) (1)

CPU Modules

MYC-CZU3EG/4EV (ZU3EG/4EV) (1)

MYC-Y7Z010/20 (Zynq-7010/20) (1)

MYC-C7Z010/20 (Zynq-7010/20) (1)

MYC-C7Z015 (Xilinx Zynq-7015) (1)

MYC-YA157C (ST STM32MP157A) (1)

MYC-C8MMX (NXP i.MX 8M Mini) (1)

MYC-JX8MX (NXP i.MX8M) (1)

MYC-Y6ULX (NXP i.MX 6UL/6ULL) (1)

MYC-IMX28X (NXP i.MX28) (1)

MYC-C335X-GW (TI AM335x) (1)

MCC-AM335X-Y (TI AM335x) (1)

MYC-AM335X (TI AM335x) (1)

MCC-AM335X-J (TI AM335x) (1)

MYC-C437X (TI AM437x) (1)

MYC-SAMA5D3X (Atmel A5D3) (1)

MYC-JA5D4X (Atmel A5D4) (1)

MYC-JA5D2X (Atmel A5D2) (1)

MCC-SAMA5D3X-C (Atmel A5D3) (1)

MYC-SAM9X5 (Atmel SAM9X5) (1)

MYC-SAM9X5-V2 (Atmel SAM9X5) (1)

MYC-S5PV210 (Samsung S5PV210) (1)

MYC-Exynos4412 (Samsung) (1)

Development Boards

VECP Starter Kit (Xilinx ZU3EG) (1)

MYD-CZU3EG/4EV (ZU3EG/4EV) (1)

MYD-C7Z010/20 (Zynq-7010/20) (1)

MYD-Y7Z010/20 (Zynq-7010/20) (1)

MYD-C7Z015 (Xilinx Zynq-7015) (1)

MYD-IMX28X (NXP i.MX28) (1)

MYD-YA157C (ST STM32MP157A) (1)

MYD-Y6ULX (NXP i.MX 6UL/6ULL) (1)

MYD-JX8MX (NXP i.MX8M) (1)

MYD-C8MMX (NXP i.MX 8M Mini) (1)

MYD-Y6ULX-HMI (i.MX 6UL/6ULL) (1)

MYD-C335X-GW (TI AM335x) (1)

MYD-C437X (TI AM437x) (1)

MYD-AM335X-Y (TI AM335x) (1)

MYD-AM335X-J (TI AM335x) (1)

MYD-AM335X (TI AM335x) (1)

MYD-C437X-PRU (TI AM437x) (1)

MYD-JA5D4X (Atmel A5D4) (1)

MYD-SAMA5D3X-C (Atmel A5D3) (1)

MYD-SAMA5D3X (Atmel A5D3) (1)

MYD-JA5D2X (Atmel A5D2) (1)

MYD-SAM9X5 (Atmel SAM9X5) (1)

MYD-SAM9X5-V2 (Atmel SAM9X5) (1)

MYD-LPC185X (NXP LPC185x) (2)

MYD-LPC435X (NXP LPC435x) (2)

MYD-LPC1788 (NXP LPC1788) (1)

Add-on Options

Z-turn IO Cape (for Z-turn Board) (1)

Z-turn Lite IO Cape (for Z-turn Lite) (1)

MYD-Y7Z010/20 IO Cape (1)

MYB-Y6ULX-HMI-4GEXP (1)

MYB-6ULX (for MYS-6ULX) (1)

MY-LCD43TP LCD Module (1)

MY-LCD70TP LCD Module (1)

MY-LCD70TP-C LCD Module (1)

MY-LVDS070C LCD Module (1)

MY-WF003U USB WiFi Module (1)

MY-WF004S SDIO WiFi Module (1)

MY-CAM002U Camera Module (1)

MY-CAM011B BUS Camera Module (1)

MY-UART012U Convertor (1)

MY-CAM003M Camera Module (1)

MY-SODIMM200 Socket (1)

MY-ZB010C ZigBee Module (1)

MY-ZB010C-E ZigBee EVM (1)

    Product Updates
          Products >  Solutions >  FZ5 EdgeBoard AI Box (Xilinx ZU5EV) > FZ5 EdgeBoard AI Box

FZ5 EdgeBoard AI Box


- Xilinx Zynq UltraScale+ ZU5EV MPSoC based on 1.5 GHz Quad Arm Cortex-A53 and 600MHz Dual Cortex-R5 Cores
- 4GB/8GB DDR4 SDRAM (64-bit, 2400MHz), 32GB eMMC Flash, 64MB QSPI Flash, 32KB EEPROM
- 4 x USB 3.0, Gigabit Ethernet, RS232, RS485, CAN, Micro-SD, Mini DP, HDMI-IN, Debug (USB-UART) …
- 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
- Supports Baidu Baidu’s PaddlePaddle AI Framework



Overview Send an Inquiry


The FZ5 EdgeBoard AI Box is a rugged and fanless AI edge computing box. With flexibility and stability, algorithms and models, it is designed for data computing at the edge. The computing of data takes place near the ‘edge’ of a network, where the data is being developed, instead of in a centralized data-processing center. On-device processing results in faster performance and response time, lower latency, power efficiency, improved security by retaining data on the device, and cost savings by minimizing data center transports. With a passive cooling enclosure design, the FZ5 EdgeBoard AI Box is capable of operating quietly in temperature ranging from -40°C to +70°C.


FZ5 EdgeBoard AI Box Front View



FZ5 EdgeBoard AI Box Rear View


The FZ5 EdgeBoard AI Box is using Xilinx Zynq UltraScale+ ZU5EV MPSoC solution. The ZU5EV device 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. The Box has a mainboard FZ5 Card inside with memory and storage capacities of 4GB/8GB DDR4, 32GB eMMC, 64MB QSPI Flash and 32KB EEPROM as well as a 32GB Micro SD card slot for extension. It has exposed rich peripheral interfaces to the Box enclosure including 4 x USB 3.0, Gigabit Ethernet, RS232, RS485, CAN, Debug, HDMI Input and Mini DisplayPort (DP).


FZ5 EdgeBoard AI Box


The FZ5 EdgeBoard AI Box is able to run PetaLinux and 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. It can support 8- to 16-channel video decoding and 4- to 8-channel intelligent analysis and can be used directly in many fields such as multimedia, automotive ADAS, surveillance, industrial quality inspection, medical diagnosis and more others with creation of customers’ own applications. Its life cycle is as long as 10 years.

Software Architecture of FZ5 EdgeBoard AI Box


The FZ5 EdgeBoard AI Box has Computing Power up to 2.4TOPS and can run at 55 FPS for ResNet-50 in actual measurement. Power consumption is within 10W to 20W under typical working conditions. Measured data for some models are shown as below:





Features

Description

SoC

Xilinx Zynq UltraScale+ XCZU5EV-1SFVC784 (ZU5EV, 784 Pin Package) MPSoC

- 1.5 GHz 64 bit Quad-core ARM® Cortex™-A53

- 600MHz Dual-core ARM® Cortex™-R5 processor

- ARM Mali™-400MP2 Graphics Processor
- H.264/H.265 Video Codec Unit (VCU)

- 16nm FinFET+ FPGA fabric

Memory

4GB/8GB DDR4 SDRAM (64bit, 2400MHz)

Storage

32GB eMMC

64MB QSPI Flash

32KB EEPROM

Micro SD card slot

Communications

1 x 10/100/1000Mbps Ethernet Interface

4 x USB 3.0 Host Ports

1 x USB-UART Debug Interface

1 x RS232, 1 x RS485, 1 x CAN

Display

1 x HDMI Input Interface

1 x Mini DisplayPort (DP) Output Interface, 4K/30fps

Others

1 x System Reset Button

2 x LEDs (1 x Red Power LED, 1 x Green System Status LED)

Power supply

DC 12V/3A

Dimensions

Body: 120mm x 100mm x 50mm

Hanger: 148mm x 100mm

Working Temp.

-40°C ~+70°C

Working humidity

20% ~ 90%, non-condensing

RTC

If RTC function is needed, you may need to open the enclosure and add the battery to the main board of the FZ5 EdgeBoard AI Box.
- 1 x 1.5V Non-Rechargeable RTC Battery Holder (battery is not provided by default, Model AG3/LR41 is recommended, pluggable)
- 1 x 3V Rechargeable RTC Battery Interface (battery is not soldered by default, Model MS621T is recommended, needs to be soldered)

Software

Supports PetaLinux

Supports Baidu’s PaddlePaddle AI framework


Relative Download and Links

You can download relative chip datasheet, products datasheet, user manual, software package from below. Detailed technical data available on request.


1 FZ5 Card Overview 1.12 MB
2 Zynq UltraScale+ MPSoC Product Selection Guide 1.88 MB
3 FZ5 Card Schematic 1.24 MB
4 FZ5 EdgeBoard AI Box 910 KB


Price and Ordering


Item

Packing List

Unit Price

Ordering

FZ5C EdgeBoard AI Box

(Part No.: MYS-ZU5EV-32E4D-EDGE-BOX)

- One FZ5 EDGE AI BOX

- One 12V/3A Power Adapter

- DC Power Adapter Cable

- One Mini USB Cable

- One 32GB TF Card

USD729

FZ5D EdgeBoard AI Box

(Part No.: MYS-ZU5EV-32E8D-EDGE-BOX)
USD789

FZ5C Card

(Part No.: MYS-ZU5EV-32E4D-EDGE-K1)

- One FZ5 Card (installed with active heat sink by default)

- One 12V/3A Power Adapter

- One DC Power Adapter Cable

- One Mini USB Cable

- One 32GB TF Card
USD699

FZ5D Card

(Part No.: MYS-ZU5EV-32E8D-EDGE-K1)
USD759


Other MYIR's Xilinx Products

http://www.myirtech.com/xilinxseries.asp

FZ3 Card - deep learning accelerator card (based on Xilinx Zynq UltraScale+ ZU3EG MPSoC)

Z-turn Board Single Board Computer (based on Zynq-7010 / 7020)

Z-turn Lite Single Board Computer (based on Zynq-7007S / Zynq-7010)

MYD-C7Z015 Development Board (MYC-C7Z015 CPU Module as core board)

MYD-Y7Z010/20 Development Board (MYC-Y7Z010/20 CPU Module as core board)

MYD-C7Z010/20 Development Board (MYC-C7Z010/20 CPU Module as core board)

MYD-CZU3EG Development Board (MYC-CZU3EG CPU Module as core board)

MYD-CZU4EV Development Board (MYC-CZU4EV CPU Module as core board)

VECP Starter Kit - a complete Vision Edge Computing Platform (based on Xilinx Zynq UltraScale+ ZU3EG MPSoC)




 

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