Banana Pi open source hardware community


Contact US

You are here:Home >> products >> STEAM education

STEAM education

Banana Pi BPI-AI AI board with K210 RISC-V for AI and STEAM education

  • 64-bit RISC-V CPU Dual-Core, up to 400MHz
  • IMAFDC (RV64GC) ISA extension
  • Hardware FPU (Float Point Unit), Double Precision
  • 32 KB I-Cache per core and 32 KB D-Cache per core
  • 8MB On-Chip SRAM 128Kbit One-Time Programmable Memory (OTP) ,Read Only Memory (ROM)
  • DMA
  • Camera and screen interface
  • WiFI (ESP8285)
  • JTAG, OpenOCD support
    BPI-AI(also name Web:AI for Webduino) design with K210 RISC-V chip design.An integrated artificial intelligence SOC chip solution that can accommodate neural network models, using a new risc-v instruction set for the field of artificial intelligence and edge computing. The main target market is the AIoT and STEAM education market,it support screen and camera. so easy to do many AI application, cowork with Webduino team. and support Webduino blockly for STEAM education. also support Arduino IDE,MixPy。

    The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision and machine hearing. Using TSMC’s ultra-low-power 28nm advanced process with dual-core 64-bit processors for better power performance, stability and reliability. The program strives for zero threshold development and can be deployed in the user’s products in the shortest time, giving the product artificial intelligence.

    The Kendryte K210 is located in the SoC of the AI ​​and IoT markets and is a very convenient MCU.

    Kendryte Chinese means surveying intelligence, while surveying intelligence is taken from surveying and searching. The main application field of this chip is in the field of Internet of Things, and it is developed in the field of Internet of Things. Therefore, this chip mainly provides artificial intelligence solutions, which are explored in the field of artificial intelligence.

    Type Applications:
    • AI for Edge Computing
    • Smart Building
    • Medical equipment
    • Automation & Process Control
    • Robot
    • IoT applications
    • STEAM education

    Hardware interface:

    Hardware spec:
    HardWare Specification of Banana pi BPI-AI (WEB:AI)
    CPU Kendryte K210 64-bit RISC-V CPU Dual-Core, up to 400MHz,with neural processing unit (NPU)
    Memory SPI flash and The accelerator has its own memory, with 6MB of static RAM given over to the dual-core CPU and a further 2MB for the NPU coprocessor.
    camera 5 million pixel cameras
    WIFI ESP8285 wifi module support 802.11.b/g/n
    Audio Output(s) Built-in MEMS microphone supports 3W speaker output
    LCD Screen 8bit MCU 2.3 LCD,DPI 320x240
    Socket Compatible with BPI: BIT Micro:bit Goldfinger,TF card ,Speaker,lithium battery interface
    Development environment Arduino IDE, MaixPy IDE ,Webduino
    Switches Reset, A/B key
    Power Source 5volt@2A via Micro USB ,lithium battery interface(3.7-4.2V)
    Size & Weight 51.6mm×67mm, 58g

    Online wiki development documents:

    Web:AI (BPI:AI for Webduino)Teaching example card teaching

    Please submit your basic information, we will contact you as soon as possible!





Related products