A standalone off-grid LoRa pager/messenger device for the end of the world. :-)
This simple project visualizes the current data of the coronavirus outbreak of different countries in real-time on an M5StickC.
Developing a TinyML solution for the Shipping Industry that allows users to track the status of a shipment/package in real time.
Modern times make modern solutions possible. Therefore, the step to a digital snow globe is not that far.
Learn how to quickly develop a TinyML model to recognize drawn digits on touch interfaces with low-power MCUs.
A modular WiFi smart thermostat that doesn't need you to maintain any infrastructure: deploy it everywhere, integrate with everything.
Perform the MNIST digit recognition on passwords using the TinyML approach on a tiny MCU.
To build a Nixie tube clock is a perpetual project on my mind. I wanted to see was made by software.
Train a neural network model in 10 minutes, and use it on ESP32 with MicroPython to control a light switch. Everything done in browser.
Learn how to quickly develop TinyML models to recognize custom, user-defined drawn gestures on touch interfaces, embedded in low-power MCUs.
m5WebRadio is a sketch to play web streaming radio station on a M5Stick-C esp32 module: A $13 esp32 net radio player.
Take a $9 M5StickC, few lines of YAML configuration to build ESPHome, Home Assistant and start controlling your TVs and climates in minutes.
Controlling DJI Tello drone with gestures via the M5Stack FIRE module and Edge Impulse.
In this tutorial we’ll show you the most efficient and easy to use application of M5Stick-C as smart watch.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
Using the M5Stack to visualize timeseries data of the Covid-19 pandemic.
A hand-washing timer with water sound detection, which uses the M5StickC's built-in microphone and does not require any external components.
Using a Tensorflow Lite Micro model this edge device keeps an ear out and vibrates if you are snoring.
In this tutorial, we will cover how to build an audio-visual face mask detection system using M5Stack UnitV2 and Core2 developments boards.
A device which can detect voice commands and takes action.
Use MicroPython to connect your M5Stack to WiFi or a device to AP and create a simple web page to control some functions of the M5Stack.
Computer Vision provides the relentless electronic eye that will watch thousands of components exit the production line in good shape. 👁️
Cloud connected, fully automated, smart indoor herb harvesting using Seeed Studio's Wio Terminal and Blynk app.
Make cool App controllable projects with ease by combining M5Stack, Tuniot and MIT App inventor.