Placeholder Raspberry Pi AI HAT+ – Voltaat

Raspberry Pi AI HAT+

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  • Regular price 295 QAR
  • Product ID: VT-4204
    2 in stock


    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.

    • 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

    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.

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