AI Quickstart
This page provides an overview of AI capabilities and setup for the IRIV EdgeAI CM5 based on the official datasheet.
AI Hardware Support
The IRIV EdgeAI CM5 includes hardware provisions for AI acceleration:
Raspberry Pi AI HAT+ Support
| Feature | Description |
|---|---|
| PCIe Port | Dedicated PCIe connection for Raspberry Pi AI HAT+ |
| GPIO Header | 40-pin header with key pins for HAT+ identification |
| Form Factor | Compatible with standard Raspberry Pi AI HAT+ |
The PCIe port for the AI HAT+ is similar to the PCIe port on Raspberry Pi 5.
GPIO Header for AI HAT+
The GPIO header connects to the AI HAT+ with the following pins:
| Pin | Function |
|---|---|
| 5V | 5V power supply to AI HAT+ |
| 3V3 | 3.3V power supply to AI HAT+ |
| GND | Ground |
| ID_SC | I2C clock for HAT+ EEPROM |
| ID_SD | I2C data for HAT+ EEPROM |
Note: The HAT+ EEPROM is used for automatic identification of the HAT+ by Raspberry Pi.
Camera Inputs
The IRIV EdgeAI CM5 provides dual camera inputs for vision-based AI applications:
| Port | Specification |
|---|---|
| MIPI0 | 22-way MIPI port for CSI camera |
| MIPI1 | 22-way MIPI port for CSI camera |
Both ports support standard Raspberry Pi CSI cameras.
AI HAT+ Installation
To install the Raspberry Pi AI HAT+:
- Power off the device and disconnect all cables
- Remove the enclosure cover
- Align the AI HAT+ with the GPIO header and PCIe connector
- Press down firmly to seat the HAT+ on both connectors
- Secure with standoffs if required
- Reassemble the enclosure
Image placeholder — AI HAT+ installation diagram (to be added later)
Software Configuration
Note: Specific AI software stack details, frameworks, and model support are not specified in the official datasheet. Refer to Raspberry Pi AI HAT+ documentation for software setup instructions.
For AI HAT+ software setup, consult:
- Official Raspberry Pi AI HAT+ documentation
- Raspberry Pi OS AI software packages
Additional AI-Related Resources
The official getting started tutorial references the following related topics:
- AI Processor setup
- AI Computer Vision implementation
Note: Detailed procedures for these topics are not included in the datasheet. Refer to the official Cytron tutorials for step-by-step guides.
Vision System Considerations
When designing vision-based AI applications:
- Camera Selection: Use compatible CSI cameras with the 22-pin MIPI connector
- Dual Camera: Both MIPI ports can be used simultaneously for stereo vision or multi-angle capture
- Lighting: The LED lighting driver outputs (L0, L1) can be used for controlled illumination
- Processing: AI HAT+ provides dedicated acceleration for inference workloads
Performance Notes
Performance specifications, supported AI models, inference speeds, and benchmark data are not specified in the official datasheet.
For performance information, refer to:
- Raspberry Pi AI HAT+ official specifications
- Application-specific testing in your deployment environment