Overview
The Raspberry Pi AI HAT+ add-on board integrates a built-in Hailo AI accelerator for Raspberry Pi 5, delivering accessible, cost-effective, and powerefficient high-performance AI. It is suitable for process control, security, home automation, and robotics projects, and supports native AI postprocessing within the Raspberry Pi camera software stack (rpicam-apps).
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Key Features
- Built-in Hailo AI Accelerator: 26 TOPS Hailo AI accelerator for high-performance AI integration.
- Seamless Integration: Fully integrated with the Raspberry Pi camera software stack with native rpicam-apps support for AI-driven post-processing.
- PCIe Gen 3 Communication: Utilizes Raspberry Pi 5s PCIe Gen 3 interface for fast, efficient data transfer.
- Easy Installation: Supplied with a 16mm stacking header, spacers, and screws; fits Raspberry Pi 5 even with an Active Cooler.
- Cost-effective and Power-efficient: Designed to offer strong AI performance with low power consumption.
- Versatile Application Support: Supports object detection, semantic segmentation, and pose estimation.
Specifications
| Performance | 26 TOPS for highperformance AI tasks |
| Interface | PCIe Gen 3 (Raspberry Pi 5) |
| Operating Temperature | 0 to 50 (ambient) |
| Host Compatibility | Raspberry Pi 5 |
| Compliance | For approvals, visit Documents – Product Information Portal – Raspberry Pi |
Whats Included
| Raspberry Pi AI HAT+ 26 TOPS | X1 |
| 16mm GPIO Stacking Header | X1 |
| Screw set | X1 |
Applications
- Process control
- Security
- Home automation
- Robotics
- Computer vision: object detection, semantic segmentation, pose estimation
Learn AI with Raspberry Pi: setup, computer vision, LLMs, custom models, and AIoT applications in smart retail, buildings, and productionall from scratch.
ECCN/HTS
| HSCODE | 8473309000 |
| USHSCODE | 8473309100 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO | CHINA |
Manuals
Documents Product Information Portal Raspberry Pi
Details
Raspberry Pi AI from Zero to Hero: Introduction to AI, setup, computer vision, LLM, custom model development, and AIoT applications using Raspberry Pi and related tools.
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