SVX-CPU-PCM5-001

Raspberry Pi CM5 Carrier Board

Compact carrier board for the Raspberry Pi Compute Module 5 with Gigabit Ethernet, USB 3.0, HDMI, two MIPI CSI-2 camera connectors and a 20-pin GPIO header, with examples up to on-device vehicle detection.

  • Raspberry Pi CM5: quad-core Cortex-A76 up to 2.4 GHz
  • Gigabit Ethernet, 2 × USB 3.0, USB-C device, HDMI
  • Two MIPI CSI-2 camera connectors
  • Edge AI example: real-time vehicle detection and classification

Raspberry Pi OS 64-bit · Python · C

Overview

SVX-CPU-PCM5-001 turns a Raspberry Pi Compute Module 5 into a compact embedded computer for vision and Edge AI. The seven examples run under Raspberry Pi OS and cover every interface of the board: both camera connectors, the GPIO and UART header, the USB-C device port and USB boot, fan control and an I²C magnetometer. The Edge AI example detects vehicles in the live camera image and classifies them as sedan, SUV, bus, truck or motorcycle directly on the CM5, without cloud services.

Video

Specifications

Compute moduleRaspberry Pi CM5 (BCM2712, quad-core Cortex-A76 up to 2.4 GHz) on two 100-pin sockets; RAM / eMMC per CM5 SKU
StorageeMMC on the CM5, or microSD slot with CM5 Lite
NetworkGigabit Ethernet
USB2 × USB 3.0 host; USB-C USB 2.0 device and USB boot (rpiboot)
Video & cameraHDMI Type-A; 2 × 22-pin four-lane MIPI CSI-2
Expansion2 × 12 header: 20 GPIO, UART1, I²C1
AuxiliaryPWM fan header, RTC backup battery holder, power switch
Power5 V DC input
SoftwareRaspberry Pi OS 64-bit

Tested examples

#ExampleGuideSource
01 MIPI Camera (MIPI1 / MIPI2) PDF ZIP
02 MIPI2 Camera (DPHY1) PDF ZIP
03 H3 GPIO & UART PDF ZIP
04 USB-C Device & USB Boot PDF ZIP
05 CPU Fan Control PDF ZIP
06 BMM350 Magnetometer (I²C) PDF ZIP
07 Vehicle Detection & Classification (Edge AI) PDF ZIP