Raspberry Pi AI HAT+
The Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator for Raspberry Pi 5.
When Installed on a Raspberry Pi 5, the AI HAT+ allows you to rapidly build complex AI vision applications, running in real time, with low latency and low power requirements. Other applications include: State-of-the-art neural networks for object detection, semantic and instance segmentation, pose estimation, and facial landmarking, process control, security, home automation, and robotics and more run on the Hailo co-processor, leaving the Raspberry Pi 5 CPU free to perform other tasks.
It provides an accessible, cost and power-efficient way to integrate high-performance AI.
Kit Contains
AI HAT+ with built in Hailo AI module containing a Neural Processing Unit (NPU)
mounting hardware kit
16mm stacking GPIO header
Raspberry Pi 5 is NOT included.
Features
- Hailo-8 or Hailo-8L accelerator ( 26 TOPS or 13 TOPS Variants Available)
- Fully integrated into Raspberry Pi’s camera software
- Supplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 even with Raspberry Pi Active Cooler in place
See the full product brief click Here
About AI HAT+
The AI HAT+ is available in 13 and 26 tera-operations per second (TOPS) variants,
built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13
TOPS variant capably runs neural networks for applications including object detection,
semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant
can handle larger networks, can run them more quickly, and can more effectively run
multiple networks simultaneously.
The AI HAT+ communicates using Raspberry Pi 5’s PCIe Gen 3 interface. When the host
Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects
the on-board Hailo accelerator and makes the NPU available for AI computing tasks.
The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI
module, automatically using the NPU to run compatible post-processing tasks.
