The Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator for Raspberry Pi 5. 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. State-of-the-art neural networks for object detection, semantic and instance segmentation, pose estimation, and facial landmarking (to name just a few) run entirely on the Hailo co-processor, leaving the Raspberry Pi 5 CPU free to perform other tasks. It provides an accessible, cost-effective, and power-efficient way to integrate high-performance AI. Explore applications including process control, security, home automation, and robotics. 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 (but you can buy one here). Features Hailo-8 or Hailo-8L accelerator offering 26 TOPS or 13 TOPS inferencing performance respectively Fully integrated into Raspberry Pi’s camera software stack Conforms to Raspberry Pi HAT+ specification Supplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place 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 13TOPS variant capably runs neural networks for applications including object detection,semantic and instance segmentation, pose estimation, and more. The 26 TOPS variantcan handle larger networks, can run them more quickly, and can more effectively runmultiple networks simultaneously.The AI HAT+ communicates using Raspberry Pi 5’s PCIe Gen 3 interface. When the hostRaspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detectsthe on-board Hailo accelerator and makes the NPU available for AI computing tasks. Thebuilt-in rpicam-apps camera applications in Raspberry Pi OS natively support the AImodule, automatically using the NPU to run compatible post-processing tasks. Resources AI HAT+ documentation AI HAT+ product brief Launch blog post
