0021 MPSAI EN

Keywords

Raspberry Pi 5, PCIe, Driver installation, Operation demonstration, 2230, 2242, 2280, NVMe SSD, SSD X1, AI, HAILO 8L, Camera, OV5647, Image Recognition, Optional auxiliary power supply

I. Introduction

II. Hardware Resources

1. Designed for the Raspberry Pi 5, it uses a 16-pin FPC to connect to the Raspberry Pi 5's PCIe interface.

2. The MPSTPU expansion board adds two PCIe interfaces via a PCIe Switch.

3. One PCIe extension M.2 E key interface, 2242 size, used for connecting the AI module HAilo8，with the official Raspberry Pi OS loading the driver.

4. One PCIe expanded M.2 M key slot, for connecting NVMe SSD (PCIe X1, Gen2 mode only). Supports 2230/2242/2280 size SSDs (defaulting to welded mounting posts for 2280 size). It does not support SSDs that use NGFF and SATA protocols.

5. The SSD can be used for data storage and system booting. When booting from the SSD, the Raspberry Pi official firmware needs to be version 2024.5.13 or later.

6. The 40-pin GPIO section adopts an unobstructed design on the top. It can be connected via DuPont cable, without affecting the use of the Raspberry Pi 5's own GPIO pins.

7. Gold immersion PCB process, lead-free production, certified by UL, compliant with ROHS standards, and has a fire rating of 94V-0.

8. It uses four M2.5 mounting holes that align with the Raspberry Pi 5 mounting holes.

9. It is compatible with an optional aluminum alloy enclosure.

III. System flashing and setting

3.1 Overview

This document uses the Raspberry Pi OS, Ubuntu system and OpenWrt system for testing.

The version of the Raspberry Pi OS is: 2024-07-04-raspios-bookworm-arm64.img.xz

You can download the Raspberry Pi OS in:

https://www.raspberrypi.com/software/operating-systems/#raspberry-pi-os-64-bit

The version of the Ubuntu system is: ubuntu-24.04-preinstalled-desktop-arm64+raspi.img.xz

You can download the Ubuntu system in:

https://ubuntu.com/download/raspberry-pi

The version of the OpenWrt system is: openwrt-bcm27xx-bcm2712-rpi-5-squashfs-sysupgrade-linux-6.1.100-20240805.img.gz

3.2 System flashed onto the SD (TF) card

Click here to read the instructions for System flashing

3.3 系统烧写在SSD硬盘上

Click here to read the instructions for System flashing

IV. AI (HAILO 8L) usage Demonstration on the Raspberry Pi OS

4.1 Overview

In various practical applications, the demand for camera image detection and recognition is gradually increasing, and there are many AI-based solutions available on the market. The solution demonstrated in this article involves the OV5647 camera, the MPSAI, and the HAILO 8L AI module paired with the Raspberry Pi 5.

Note: The operation requires a stable internet connection to the regions out of China (you may need to find your own method). Otherwise, many files may not download or may only partially download, which could ultimately lead to the code failing to run.

4.2 Update system

Note: The following operational steps apply whether the system is booted from a TF card or an SSD.

4.2.1 Boot the Raspberry Pi OS and run commands in the terminal:

sudo apt update

sudo apt full-upgrade

4.2.2 Run sudo rpi-eeprom-updateto check the Raspberry Pi firmware and ensure that the firmware date is after December 6, 2023:

As shown in the above figure, the firmware date is June 5, 2024.

4.2.3 Run sudo raspi-config ,select the corresponding options in sequence according to the following diagram:

After making your selection and exiting, the system will automatically restart. If it does not restart automatically, please manually execute sudo reboot to restart the system.

4.3 Install the depends required for the AI module

Run sudo apt install hailo-all, install the depends required for the AI module:

After completing this, execute sudo reboot to restart the system and apply these settings.

Run hailortcli fw-control identify, If the following output appears, it indicates that the depends for HAILO 8L have been successfully installed:

Finally, execute rpicam-hello -t 10s to turn on the camera and bring up the preview window, ensuring that the camera is functioning normally.

4.4 Image recognition and detection

Run:

git clone --depth 1 https://github.com/raspberrypi/rpicam-apps.git ~/rpicam-apps

Clone the library of rpicam-apps:

After cloning is completed, you can begin image recognition and detection:

rpicam-hello -t 0 --post-process-file ~/rpicam-apps/assets/hailo_yolov6_inference.json --lores-width 640 --lores-height 640

You should downloading a large amount of data from the internet out of China to use the testing of this development board, so users can contact our company after buying this development board to obtain a pre-configured Raspberry Pi OS image.

V. Using SSD in the Raspberry Pi OS

For basic operations on the SSD, we can refer to the following link:

Use the SSD for storage expansion (Raspberry Pi OS)

Perform partitioning and other operations on the SSD

Adjust the peripheral boot order

Install the SSD speed testing software hdparm

For how to test the SSD, we can refer to the following link:

SSD硬盘测试（树莓派OS下）

VI. Using SSD in the Ubuntu system

For basic operations on the SSD, we can refer to the following link, apart from the SSD being used for storage expansion, which operates slightly differently under Raspberry Pi OS, the rest is basically the same.

Use the SSD for storage expansion(Ubuntu system)

Perform partitioning and other operations on the SSD

Adjust the peripheral boot order

Install the SSD speed testing software hdparm

For how to test the SSD, we can refer to the following link:

SSD硬盘测试（Ubuntu系统下）