AtomU

SKU:K117

Description

AtomU is a very compact and flexible IoT voice recognition development board, using the Espressif ESP32 main control chip, equipped with 2 low-power Xtensa® 32-bit LX6 microprocessors, with a main frequency of up to 240 MHz. It integrates a USB Type-A interface, IR transmitter, programmable LED light, and other peripherals, making it plug-and-play and convenient for program upload, download, and debugging. It integrates a Wi-Fi module and is equipped with a built-in digital microphone SPM1423 (PDM), enabling clear audio recording, suitable for various IoT human-computer interaction and voice input recognition scenarios (STT).

Tutorial

UiFlow1

UiFlow1

This tutorial will introduce you to controlling the AtomU device using the UiFlow1 graphical programming platform

UiFlow2

UiFlow2

This tutorial will introduce you to controlling the AtomU device using the UiFlow2 graphical programming platform

Features

• Low-code development:
  • Supports UIFlow graphical programming platform, scripting, no compilation, cloud push
  • Fully compatible with mainstream development platforms like Arduino, ESP32-IDF
• High integration:
  • USB-A programming/power supply interface, IR transmitter, programmable RGB light x1, button x1
  • Professionally modulated RF circuit for stable and reliable wireless communication quality.
• Strong expandability:
  • Easily integrates into M5Stack's hardware and software ecosystem

• ESP32-PICO-D4 (2.4GHz Wi-Fi)
• Integrated programmable RGB LED and button
• Compact body
• Built-in infrared transmitter
• Expandable pins and GROVE interface
• Development Platform
  • UiFlow1
  • UiFlow2
  • Arduino IDE
  • ESP-IDF
  • PlatformIO

Includes

• 1 x AtomU

Applications

• IoT controller
• Voice recording, cloud STT recognition

Specifications

Schematics

PinMap

SPM1423 - PDM

IR & SK6812 & BUTTON

HY2.0-4P

Model Size

Datasheets

• ESP32-PICO
• SPM1423

Softwares

Arduino

• AtomU STT Example

UiFlow1

• AtomU UiFlow1 Quick Start

UiFlow2

• AtomU UiFlow2 Quick Start

PlatformIO

[env:m5stack-atom]
platform = espressif32@6.3.2
board = m5stack-atom
framework = arduino
upload_speed = 1500000
monitor_speed = 115200
build_flags =
    -DCORE_DEBUG_LEVEL=5
lib_deps =
    M5Unified=https://github.com/m5stack/M5Unified

Video

• AtomU STT Tutorial

• STT Example