Enclustra Mercury XU5 User manual

MERCURY XU5
Design-In Kit
Enclustra GmbH
Räffelstrasse 28
8045 Zürich Switzerland
[phone]
inf[email protected]om
www.enclustra.com
Quick Start Guide

Mercury XU5
– Xilinx®Zynq UltraScale+™MPSoC
– Up to 8 GB DDR4 ECC SDRAM (PS)
– Up to 2 GB DDR4 SDRAM (PL)
– 64 MB QSPI ash
– 16 GB eMMC ash
– PCIe®Gen3 ×4 and PCIe®Gen2 ×4
– Up to 8 × 6/12.5 Gbit/sec MGT
– 2 × Gigabit Ethernet
– 2 × USB 2.0/3.0 (host & host/device)
– Up to 256,000 LUT4-eq
– 178 user I/Os
Available Resources
The following manuals and software are available for download
for owner of the kits:
– Documentation
– Design support
✔Design-in kit user guide
✔User manuals
✔Reference design
✔PetaLinux board support
package (BSP)
✔Buildroot-based Linux
BSP
✔Module pin connection
guidelines
✔Master pinout
✔Footprints
✔3D model
✔IO net length
✔User schematics
✔ Altium design les
(base board)
✔Application notes
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What’s in the Box
– Mercury XU5 module
– Mercury+ ST1
base board
– USB camera
– Heatsink
– Fan
– Power supply
– USB cable
– MiniDP to DP cable
– Micro SD card
– Example designs:
AI face detection and
image classication
based on ResNet50
and Xilinx Vitis AI
– Quick start guide

To p
view
Bottom
view
The Design-In Kit
Mercury XU5 System-on-Module (SOM)
Mercury+ ST1 Base Board

1
2
Set up the Hardware
Mount the module
and the heatsink
to the
base board
Connect the Base Board
1. Insert module rst. 2. Follow the steps in the order
indicated in the image below. 3. Insert power last.
8Plug-in the power supply 7Connect ethernet with PC (optional) 6Connect webcam 4Connect PC with USB
3Set/check
Dip-Switches
1Set/check
jumpers
2SD Card –
already
inserted
5Connect display
ON
1 2 3 4
VSEL

Face Detection Demo
Image Classication Demo
Run the Demos
Preparation:
– Prepare and connect the board according to the hardware
setup instructions (see «Set up the Hardware»).
– Open a terminal program on your computer (e.g. Tera Term)
and open a serial port connection using the COM
port labeled with the higher number from the two newly
detected ports.
1. Power on the board and log in
as root/root
2. Check that you can ping the
board from your computer
3. Start the face detection demo
with the command: root@
ST1_ME-XU5-4EV-2I-
D12E:~# facedetect
4. The live video of the USB camera should be displayed on
the monitor
5. Optional: View the stream on your PC via network using
the following GStreamer pipeline: gst-launch-1.0
tcpclientsrc host=IP_ADDRESS_OF_THE_BOARD
port=7001 ! jpegdec ! videoconvert !
autovideosink
1. Power on the board and log in
as root/root
2. Check that you can ping the
board from your computer
3. Run the resnet50 example with
the command: root@ST1_
ME-XU5-4EV-2I-D12E:~#
resnet50
4. The live video of the USB camera should be displayed on
the monitor
5. Optional: View the stream on your PC via network using
the following GStreamer pipeline: gst-launch-1.0
tcpclientsrc host=IP_ADDRESS_OF_THE_BOARD
port=7001 ! jpegdec ! videoconvert !
autovideosink

Enclustra GmbH
Räffelstrasse 28
8045 Zürich Switzerland
[phone]
[email protected]om
www.enclustra.com
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