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    Banana Pi BPI-F4 Industrial Control Board, Powered by Sunplus SP7350, 4GB LPDDR4, 32GB eMMC, 4.6TOPS NPU AI Solution for Robotics and Smart Devices (Standard Kit)

    • [High-Performance AI Chip] The Sunplus SP7350 chip, boasting 4.6TOPS AI computing power, is specifically designed for AI vision applications, providing robust performance for edge AI and AIoT tasks.; [Powerful CPU and MCU Combination] Equipped with a quad-core 1.8GHz ARM Cortex-A55 CPU and an independent ARM Cortex-M4 MCU, it efficiently handles computer vision, video, image, and audio processing.; [WIKI] http(s)://docs.banana-pi.org/en/BPI-F4/BananaPi_BPI-F4; [Rich Peripheral Interfaces] It integrates a MIPI-RX camera interface with automatic pin detection, signal switching, and error detection, ensuring smooth and user-friendly connectivity for high-speed data transfer.; [Advanced Process and Low Power Consumption] Fabricated using advanced 12nm chip technology, it offers a small form factor and low power consumption, ideal for building compact and energy-efficient devices.; [Wide Range of Applications] It is suitable for various fields such as robotics, drones, AMR/AGV, surveillance, inspection, counting, people tracking, and human-machine interfaces for gaming or touchless control.; [Compatible with Multiple AI Frameworks] Supports popular AI frameworks like Caffe, TensorFlow, PyTorch, TFLite, DarkNet, and ONNX, as well as over 50 AI models such as YOLO - v5/V8/V10, meeting diverse development needs.; [Versatile Development Platform] Provides an open Linux platform, making it convenient for developers to quickly deploy AI applications and accelerate product development c
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    Product description BPI-F4 Introduction Banana Pi BPI-F4 industrial control board design with Sunplus SP7350 Quad ARM Cortex-A55 and 4.1 Tops NPU, It forms a 4.1 TOPS AI platform with a wide range of I/O options for interfacing with external devices. It offers a compact and robust environment, enabling customers to develop their own AI software and applications BPI-F4 is an official open source hardware development board jointly developed by banana Pi open source community and Sunplus AI Smart Board Industrial Control Board Application direction AMR (Auto Mobile Robot) Agriculture Robot UAV/Drone, Smart Camera/Health care Camera Conference Video Bar, Driver Monitor System, DMS/ADAS
    Key Features CPU: Sunplus SP7350 Quad ARM Cortex-A55 NPU: AI and Parallel Processing Engine Up to 4.1 TOPS (@900MHz) computing power
    MCU: ARM Cortex-M4 AI function
    AI Framework: Caffe/Tensorflow/PyTorch/TFLite/DarkNet or
    ONNX AI Moduels: Yolo-v5/V8/V10.. etc, More than 50 Models. About SunPlus SP7350 SP7350 (C3V) is an AI vision SoC built on a 12nm process. It combines a quad-core ARM Cortex-A55 CPU @ 1.8GH z with an NPU delivering 4.6 TOPS for edge AI inference. An integrated Cortex-M4 MCU handles real-time control and I/O management. The chip supports open Linux and features a programmable Multi-Function Interface (MFI) for flexible high-speed data interconnection with peripheral ICs or sensors. It targets applications including robotics, drones, AMR/AGV, surveillance, and vision-based AIoT solutions. Hardware interface GPIO pin definitions Banana Pi BPI-F4 Hardware CPU Parameters Sunplus SP7350 Quad ARM Cortex-A55 MCU ARM Cortex-M4 @ 1.1GH z Memory 4GB LPDDR4 SDRAM Storage 32GB eMMC Flash + MicroSD Card Slot (supports expandable storage) NPU AI and Parallel Processing Engine Up to 4.1 TOPS (@900MHz) computing power Ethernet Port Supports 10M/100M/1000M transmission HDMI Supports 1080p, 720p, 480p resolutions Power 12V/2A DC IN / 12V DC IN / 1.5F super capacitor (Provides power for the RTC)
    Dimensions Mainboard: 134mm × 101mm &
    Core Board: 40mm × 55mm Camera Recommended OV5647, supports 1080p@30fps, 720p@60fps, 480p@90fps OS Linux

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