Collecting and analyzing data to predict which F1 car will finish the race first.
Experimenting with air-writing recognition on Arduino’s smallest board
How to apply the TinyML approach to detect truck failure related to the Air Pressure System (APS) in a timely manner.
Classificate gestures using an Esp32, MPU6050 and Edge Impulse.
A proof-of-concept project to recognize air-written alphabet, using Arduino Nano RP2040 Connect run with Edge Impulse tinyML model.
A tiny DIY cam built with Xiao ESP32S3 Sense. Captures images with a button press and saves them to an SD card.
The AI Guardian for Plants is designed to monitor the soil data in real time
In this tutorial，we will show you how to utilize the accelerometer on XIAO BLE Sense combined with Edge Impulse to enable motion recognition
A modified example that can display the captured image and its classification result on a display. Say goodbye to clumsy WiFi connections!
Configuration of ESP32S3 SENSE in Arduino and testing of onboard camera, Mic, wifi and LED. (Hello World! to ESP32S3 Sense)
To fight against plastic pollution for marine life
Seeed Studio's Codecraft now gets powered by Edge Impulse leading to the development of next-generation of developing embedded ML projects!
Want to build your own TinyML application? This is a detailed approach to getting started with TensorFlow Lite for Microcontrollers!
Use an Arduino Nano 33 BLE Sense to control a Tello Drone using gestures to fly, land, and move left and right!
Your productivity powerhouse.
Using gesture recognition with the in-built light sensor, the Wio Terminal will be able to recognize the rock, paper and scissor gesture.
Using an outdoor smart sensor - A1101 to detect the accumulation of leaves, flower and other debris for a balcony drain and alert its user.
This ML powered device smell diesel and send realtime notification on mobile. Using Wio terminal, Edge Impulse & Blynk.
AEye can be able to detect when your stove has been left unattended using Wio Terminal and thermal camera.
Seeed Wio Terminal programed using Codecraft/Edge Impulse is a fantastic tool for beginners to start on tinyML (Embedded Machine Learning).
Train an artificial neural network directly on the Wio terminal with AIfES® to recognize simple gestures.
My first tinnyML project, Fitness-Band using Arduino Nano BLE sense and Edge Impulse especially on how to collect training data via BLE.
Learns the colors of three different objects and can later classify them.
A simple voice recognition project using Codecraft graphical programming, Wio Terminal and Edge Impulse.
