Difference between revisions of "BPI-AI"

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(About Kendryte K210 chip)
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[[File:BPI-AI_1.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
[[File:BPI-AI_1.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
[[File:BPI-AI_2.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
[[File:BPI-AI_2.JPG|thumb|[[BPI-AI]] Kendryte K210 RISC-V]]
[[File:Leaf-S3-incline-front.jpg|thumb|[[BPI-Leaf-S3]] with ESP32-S3]]
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]]
[[File:Webduino_gif.gif|thumb|[[BPI-Bit]] with ESP32 design ]]
[[File:BPi-QCar_1.jpg|thumb|[[BPI Q-Car kit]] with BPI:AI board]]
[[File:BPi-QCar_1.jpg|thumb|[[BPI Q-Car kit]] with BPI:AI board]]

Latest revision as of 04:26, 18 March 2022


BPI-AI Kendryte K210 RISC-V
BPI-AI Kendryte K210 RISC-V
BPI-Leaf-S3 with ESP32-S3
BPI-Bit with ESP32 design
BPI Q-Car kit with BPI:AI board
BPI-EAI80 AI board Gree EAI80 chip design

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

Type Applications

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

Key Features

  • 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

About Kendryte K210 chip

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.

BPI-AI hardware

Hardware Interface

BPI-AI interface.JPG

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

BPI-AI software

Source code on github

K210 chip official Source code on github:https://github.com/kendryte

Web:ai for maixpy : https://github.com/webduinoio/webai-maixpy

BPI:AI(Web:ai) for Webduino