{"product_id":"sipeed-maixcube-all-in-one-ai-development-platform-based-on-k210-risc-v","title":"Sipeed MaixCube All-in-One AI Development Platform Based on K210 (RISC-V)","description":"\u003ch2\u003e\n Features\n\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli\u003e\n  All-in-One Platform with Rich Peripherals\n \u003c\/li\u003e\n \u003cli\u003e\n  K210 RISC-V 64-bit Dual-Core CPU for Powerful AI Applications\n \u003c\/li\u003e\n \u003cli\u003e\n  Computing Power up to 1TOPS for Heavy Machine Vision Applications\n \u003c\/li\u003e\n \u003cli\u003e\n  Built-in FPU, KPU, FFT Hardware Acceleration Units\n \u003c\/li\u003e\n \u003cli\u003e\n  Built-in APU for High-Quality Audio Processing\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"aligncenter size-full wp-image-416146\" height=\"1485\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/hardware-overview-EN-latest_c17371c1-a256-4296-85b9-f025a4188d40.png?v=1754258107\" width=\"1920\"\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"aligncenter size-full wp-image-416149\" height=\"395\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/hardwareoverview2.jpg?v=1754258109\" width=\"483\"\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n Object recognition using Artificial Intelligence has never been this convenient ever before.\n\u003c\/p\u003e\n\u003cp\u003e\n Sipeed MaixCube is an all-in-one development platform based on the M1n module which is powered by the Kendryte K210 core. It is equipped with a camera, TF card slot, user buttons, TFT display, lithium battery, speaker, microphone and an expansion interface. This provides a great platform for everyone to start learning about AI development.\n\u003c\/p\u003e\n\u003cp\u003e\n The KendryteK210 which acts as the main control chip for the MaixCube, is very powerful. The module has a built-in 64-bit dual-core processor chip and 8M of on-chip SRAM. It has outstanding performance in AI machine vision and Auditory applications. It has a variety of hardware acceleration units such as KPU, FPU, FFT, etc. and the total computing power can be up to 1TOPS, which can conveniently realize machine vision\/hearing algorithms of various application scenarios, and can also perform pre-processing work of voice scanning and voice data output.\n\u003c\/p\u003e\n\u003cp\u003e\n Users can use MaixCube to easily build a face recognition access control system.\n\u003c\/p\u003e\n\u003ch3\u003e\n A Wide Range of Sipeed Modules (SP-MOD) Supported\n\u003c\/h3\u003e\n\u003cp\u003e\n Through the SP-MOD interface on the MaixCube which is a standard 2.54mm 2x4 Pin female header, with Vcc, GND, and 6 signals, you can connect to various SP-MOD modules and extend your AI projects further.\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cem\u003e\n  \u003cstrong\u003e\n   Please note SP Modules are sold separately and are not included as part of this kit\n  \u003c\/strong\u003e\n \u003c\/em\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"aligncenter size-full wp-image-416140\" height=\"1785\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/back-with-modules.png?v=1754258112\" width=\"1920\"\u003e\n\u003c\/p\u003e\n\u003ctable class=\"tg\" data-style=\"undefined;table-layout: fixed; width: 567px;\"\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003cth class=\"tg-0a7q\"\u003e\n    Handle Module\n   \u003c\/th\u003e\n   \u003cth class=\"tg-lg0k\"\u003e\n    8\n   \u003c\/th\u003e\n   \u003cth class=\"tg-73oq\"\u003e\n    SP-MOD One-to-Multi-Adapter Board\n   \u003c\/th\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-urnw\"\u003e\n    2\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0a7q\"\u003e\n    USB In-line Module\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    9\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    1.14 inch LCD module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-urnw\"\u003e\n    3\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0a7q\"\u003e\n    Microphone Array Adapter Board\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    10\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Single point ToFu Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    4\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Weather Station Module\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    11\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    FPC Extension Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    5\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    PSRAM Module\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    12\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Bluetooth Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    6\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Credit Card Module\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    13\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Ink Screen Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    7\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    Grove Adapter Board\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lg0k\"\u003e\n    14\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-73oq\"\u003e\n    LoRa Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\n What is MaixPy?\n\u003c\/h3\u003e\n\u003cp\u003e\n Before getting to know about the MAIX product series, it is very necessary to understand the MaixPy project. It can help you quickly use the Al module.\n\u003c\/p\u003e\n\u003cp\u003e\n MaixPy is a project of porting Micropython to K210 chip (running Micropython parser on K210), that is, users can finally control the function of K210 chip through Micropython programming. For example, you can directly call the facial recognition algorithm built into the firmware through Micropython programming, and finally generate a Micropython file, which can be downloaded to the Flash chip, and run on it. In addition, MaixPy supports the normal operation of MCU and integrates machine vision and microphone arrays to rapidly develop intelligent applications in the field of AIoT with extremely low cost and practicality.\n\u003c\/p\u003e\n\u003ch3\u003e\n What is the Development Environment on MaixCube?\n\u003c\/h3\u003e\n\u003cp\u003e\n By default, the development board has burned MaixPy firmware (the firmware source code is open source and can be downloaded from Github). MaixPy has developed a variety of functional libraries that developers can call directly. Maix series products use Maix IDE developed by the Sipeed team. The software is free of installation. After downloading, you can directly use MaixPy to use Micropython script syntax. Developers can edit the script on the computer and upload it to the development board to execute the script directly on the development board. The IDE can view camera images in real-time and save files to the development board, which is very convenient for development.\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"aligncenter size-full wp-image-416143\" height=\"408\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/IDE.jpg?v=1754258114\" width=\"486\"\u003e\n\u003c\/p\u003e\n\u003ch2\u003e\n Specifications\n\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003cth class=\"tg-efol\" colspan=\"2\"\u003e\n    Kendryte K210\n   \u003c\/th\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-g7sd\"\u003e\n    Core\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lboi\"\u003e\n    RISC-V Dual-Core 64-bit, with FPU\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-g7sd\"\u003e\n    Frequency\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-lboi\"\u003e\n    400MHz (overclockable to 600MHz)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    SRAM\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Built-in 8M Byte\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Image recognition\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    QVGA @ 60fps \/ VGA @ 30fps\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Voice recognition\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Microphone array (8mics)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Network Model\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    supports YOLOv3\/TinyYOLOv2\/face recognition, etc.\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Deep learning framework\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Support frameworks such as TensorFlow \/ Keras \/ Darknet \/ Caffe\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Peripherals\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    FPIOA, UART, GPIO, SPI, PC, PS, TIMER\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-7btt\" data-style=\"text-align: left;\" rowspan=\"4\"\u003e\n    Hardware acceleration unit\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    KPU convolution operation accelerator\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    FPU floating point accelerator\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    APU Audio processor\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    FFT Fourier transform accelerator\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-zlqz\" colspan=\"2\"\u003e\n    MaixCube Module\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\" rowspan=\"7\"\u003e\n    Onboard Peripherals\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Button x 3\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Camera x 1\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    RGB LED x 2\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    1.3 inch TFT screen\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Electret Microphone x 1\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    128Mbit Flash x 1\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Accelerometer x 1\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\" rowspan=\"5\"\u003e\n    Onboard Interfaces\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    USB Type-C Interface\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Audio interface (supports external speakers)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    TF card slot\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Grove standard interface\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    SP-MOD interface (supports SP-MOD interface module)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Power supply\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    USB-Type-C \/ Internal lithium battery (200mAh)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-zlqz\" colspan=\"2\"\u003e\n    Software Development\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Operating system\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    FreeRTOS, Linux\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Face recognition\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    Recognition accuracy up to 98%\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Development environment\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    MaixPy IDE, PlatformlIO IDE, Arduino IDE, etc.\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd class=\"tg-fymr\"\u003e\n    Programming languages\n   \u003c\/td\u003e\n   \u003ctd class=\"tg-0pky\"\u003e\n    C, C ++, MicroPython\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n","brand":"Unmanned Tech","offers":[{"title":"Default Title","offer_id":54201647694088,"sku":"3EC-A07-E03","price":24.9,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bidnamic.store\/products\/sipeed-maixcube-all-in-one-ai-development-platform-based-on-k210-risc-v","provider":"Bidnamic Store","version":"1.0","type":"link"}