M1W Dock AI Development Kit

  • 599 kr

Pre-order levernas efter 20 Augusti Artificial intelligence tide is sweeping across our world. All open sources developers and AI geekers, good news, come

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Artikelnummer: KIT0145

Pre-order levernas efter 20 Augusti 

Artificial intelligence tide is sweeping across our world. All open sources developers and AI geekers, good news, come to see this excellent M1W Dock AI development kit! With integrated Micropython in this module, you can start your AI development with ease!
The development kit adopts professional AI chip K210, a dual-core RISC-V with an FPU. It serves as the core unit and dual-core processing with independent FPU, 64-bit CPU and 8M in-built SRAM. With a 400Mhz adjustable nominal frequency, it supports multiplication, division, and square root operation. In the AI processing, AI chip K210 can perform operations such as convolution, batch normalization, activation, and pooling. At the same time, the pre-processing of voice direction scanning and voice data output can also be performed. This module can realize face detection, voice, color and object recognition, MNIST handwritten digit recognition, feature map visualization, tiny yolov2 and so on.
M1W Dock Embedded AI development board integrates M1W Dock, OV2640 camera, 2.4 inches LCD with 320*240 resolution, and it also has a built-in microphone, TF card slot and on-board USB to serial chip for downloading and debugging codes. With so many powerful functions, I am sure this product would be the best choice for all AI enthusiasts!

  • M1: 8MB SRAM on chip, 16MB Flash built in module

  • M1W: M1 based with WiFi (esp8285) module


  • Digital Video Port (DVP) interface support
  • Universal Asynchronous Receiver/Transmitter(UART)
  • Direct Memory Access Controller (DMAC)
  • I2C, I2S, SPI interfaces
  • Joint Test Action Group(JTAG)
  • Field-Programmable IO Array (FPIOA/IOMUX)
  • Neural Network Processor (KPU)
  • Audio processor (APU)
  • Fast Fourier Transform (FFT) hardware accelerator
  • AES and SHA256 algorithm hardware accelerators


  • Machine Vision
  • Machine Hearing
  • Low power, better vision processing speed, and accuracy
  • KPU high-performance Convolutional Neural Network (CNN) hardware accelerator
  • Firmware encryption support
  • Unique programmable IO array maximizes design flexibility
  • FPC24P socket for DVP camera and 8-bit MCU LCD 
  • 3.3V/1.8V dual voltage IO support eliminates the need for level shifters
  • Access to all 72-pin full pin lead-out, freely mappable
  • USB Type-C interface
  • Power amplifier IC for use with speakers
  • Built-in microphone
  • TF card slot
  • Onboard Wifi, adopt ESP8285 chip
  • Onboard high-speed DAC
  • Microphone Array expansion board for sound localization, beamforming, speech recognition, etc.



  • M1W Dock AI Development Kit x1