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    Banana Pi BPI-F4 Liunx AI Development Board - 4GB LPDDR4 RAM 32GB eMMC - SP7350 Quad CPU 4.1TOPS 900MHz NPU Cortex-M4 MCU, for AMR AI Edge Computing, Support PyTorch/Yolo-v5-v10 (Power Kit)

    • [4.1TOPS NPU] BPI-F4 industrial-grade AI development board is equipped with the SunPlus SP7350 chip, which integrates a 4.1 TOPS NPU optimised for edge AI computing. It can efficiently perform complex AI operations such as computer vision tasks (e.g. object detection, tracking, segmentation), video/image analysis, and audio processing, meeting the real-time processing requirements of industrial scenarios.
    • [Quad-core A55 CPU] BPI-F4 industrial grade AI development board is equipped with a quad-core ARM Cortex-A55 CPU (1.8GHz clock speed), providing powerful general-purpose computing capabilities. It can handle multi-task scheduling and run lightweight AI algorithms, ensuring flexible coordination between efficient AI inference and traditional control tasks, and achieving a balance between performance and energy efficiency.
    • [Develop AI. Efficiently] BPI-F4 AI linux single board computer is fully compatible with mainstream AI frameworks (including Caffe, TensorFlow, PyTorch, TFLite, DarkNet and ONNX), providing flexible algorithm deployment capabilities. Meanwhile, its pre-built support for more than 50 high-performance AI models, such as YOLO-v5/v8/v10, allows for the rapid realization of vision tasks such as target detection, classification and tracking, significantly shortening the development cycle of industrial-grade AI applications.
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    [ 4.1TOPS NPU] BPI-F4 industrial-grade AI development board is equipped with the SunPlus SP7350 chip, which integrates a 4.1 TOPS NPU optimised for edge AI computing. It can efficiently perform complex AI operations such as computer vision tasks (e. g. object detection, tracking, segmentation), video/image analysis, and audio processing, meeting the real-time processing requirements of industrial scenarios.. [Quad-core A55 CPU] BPI-F4 industrial grade AI development board is equipped with a quad-core ARM Cortex-A55 CPU ( 1.8GH z clock speed), providing powerful general-purpose computing capabilities. It can handle multi-task scheduling and run lightweight AI algorithms, ensuring flexible coordination between efficient AI inference and traditional control tasks, and achieving a balance between performance and energy efficiency.

    . [Develop AI. Efficiently] BPI-F4 AI linux single board computer is fully compatible with mainstream AI frameworks (including Caffe, TensorFlow, PyTorch, TFLite, DarkNet and ONNX), providing flexible algorithm deployment capabilities. Meanwhile, its pre-built support for more than 50 high-performance AI models, such as YOLO-v5/v8/v10, allows for the rapid realization of vision tasks such as target detection, classification and tracking, significantly shortening the development cycle of industrial-grade AI applications.

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