Raspberry Pi AI HAT+
The Raspberry Pi AI HAT+ is an expansion board designed for the Raspberry Pi 5 and includes an integrated Hailo AI accelerator.
When the AI HAT+ is attached to a Raspberry Pi 5, it enables rapid development of advanced AI vision applications that run in real time, with low latency and low power consumption. Advanced neural networks, such as object detection, semantic and instance segmentation, pose estimation and facial feature recognition, run exclusively on the Hailo co-processor, freeing the Raspberry Pi 5 CPU for other tasks.
This expansion board provides an easy, cost-effective and energy-efficient solution for integrating high-performance AI into a variety of applications such as process control, security, home automation and robotics.
Package contents
- AI HAT+ with built-in Hailo AI module including a neural processing unit (NPU)
- Installation hardware kit
- 16 mm stackable GPIO connector
Note: Raspberry Pi 5 is not included (but can be purchased separately).
Features
- Hailo-8 or Hailo-8L accelerator, providing respectively 26 TOPS or 13 TOPS of inference performance
- Fully integrated into the Raspberry Pi camera software stack
- Compatible with Raspberry Pi HAT+ specifications
- Includes 16 mm stacking header, spacers and screws for easy installation to the Raspberry Pi 5 with the Raspberry Pi Active Cooler
About the AI HAT+
The AI HAT+ is available in two versions offering 13 and 26 tera operations per second (TOPS), and are built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13 TOPS version efficiently runs neural networks for applications such as object detection, semantic and instance segmentation, pose estimation and much more. The 26 TOPS version supports larger networks, faster processing and concurrent execution of multiple networks.
The AI HAT+ connects to the Raspberry Pi 5 via the PCIe Gen 3 interface. When a Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it will automatically detect the Hailo accelerator and make the NPU available for AI compute tasks. Raspberry Pi OS’s built-in rpicam applications natively support the AI module, using the NPU for compatible post-processing tasks.
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