Arducam Pico4ML TinyML Dev Kit B0302

Description

 

Arducam Pico4ML TinyML Dev Kit B0302

To make Raspberry Pi Pico more robust for TFLite Micro, the Arducam team took the Raspberry Silicon (also known as the RP2040 chip) and created Pico4ML, a microcontroller dev board made exclusively for running and training machine learning examples.

  • Microcontroller: Raspberry Pi RP2040
  • IMU: ICM-20948
  • Camera Module: HiMax HM01B0, Up to QVGA (320 x 240 @60fps).
  • Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)
  • Operating Voltage: 3.3V
  • Input Voltage: 5V +/- 10% via VBUS, Max 5.5V via VSYS
  • Board Size: 2” x 0.83” （51mm x 21mm）

3 pre-trained TensorFlow Lite Micro examples are provided, Person Detection, Magic Wand, and Wake-Word Detection. You can also build, train and deploy your models on it.

Packing List:

  • 1 x Arducam Pico4ML Dev Board
  • 1 x Micro USB Cable

 

0.96 inch LCD

The small TFT display at the back of Pico4ML is a 160×80 LCD, it’s connected to the board through the SPI interface, you can do a live preview of the camera, or display the results of any of the your ML models in real-time.

QVGA Camera Module

An HM01B0 camera module with ultra-low power consumption, configurable 1-bit video data serial interface with video frame and line sync, and the monochrome sensor make image processing easy for most machine vision applications.

Onboard Microphone

The audio chip on the Pico4ML is capable of directly outputting PDM (Pulse-density modulation) signals, which allows the RP2040 to receive audio input, and it’s great for all the speech/voice recognition models.

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Arducam Pico4ML TinyML Dev Kit B0302

Product form

SKU: B0302

$59.00 $49.00 Excl. GST

$49.00
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    Description

     

    Arducam Pico4ML TinyML Dev Kit B0302

    To make Raspberry Pi Pico more robust for TFLite Micro, the Arducam team took the Raspberry Silicon (also known as the RP2040 chip) and created Pico4ML, a microcontroller dev board made exclusively for running and training machine learning examples.

    • Microcontroller: Raspberry Pi RP2040
    • IMU: ICM-20948
    • Camera Module: HiMax HM01B0, Up to QVGA (320 x 240 @60fps).
    • Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)
    • Operating Voltage: 3.3V
    • Input Voltage: 5V +/- 10% via VBUS, Max 5.5V via VSYS
    • Board Size: 2” x 0.83” （51mm x 21mm）

    3 pre-trained TensorFlow Lite Micro examples are provided, Person Detection, Magic Wand, and Wake-Word Detection. You can also build, train and deploy your models on it.

    Packing List:

    • 1 x Arducam Pico4ML Dev Board
    • 1 x Micro USB Cable

     

    0.96 inch LCD

    The small TFT display at the back of Pico4ML is a 160×80 LCD, it’s connected to the board through the SPI interface, you can do a live preview of the camera, or display the results of any of the your ML models in real-time.

    QVGA Camera Module

    An HM01B0 camera module with ultra-low power consumption, configurable 1-bit video data serial interface with video frame and line sync, and the monochrome sensor make image processing easy for most machine vision applications.

    Onboard Microphone

    The audio chip on the Pico4ML is capable of directly outputting PDM (Pulse-density modulation) signals, which allows the RP2040 to receive audio input, and it’s great for all the speech/voice recognition models.

    Read more

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