Our pets deserve more to stay active. A tinyML model predicts activities based on the data coming from 3 Axis IMU.
Building an inclination estimator system with Arduino Nicla Sense ME and Neuton TinyML
Predict the possibility of arrhythmias on an 8- bit Microcontroller, without sending the corresponding sensor data to the cloud.
Learning Image Classification on embedding devices (ESP32-CAM)
Developing a TinyML solution for the Shipping Industry that allows users to track the status of a shipment/package in real time.
Creating a faster, smaller, and more accurate magic wand than the famous experiment provided in Arduino Sketch, given the same hardware.
Implementing sensor fusion to detect smoke and reduce false alarms.
Collecting and analyzing data to predict which F1 car will finish the race first.
Experimenting with air-writing recognition on Arduino’s smallest board
Applying sensor fusion with RSL10 and Bosch sensors to run a TinyML model for predictive maintenance of compressor water pumps.
Detect spoiled products using the Tiny Machine Learning approach.
Exploring Machine Learning on the tiny device of the Seeed XIAO family, the ESP32S3 Sense and SenseCraft-Web-Toolkit
Amateur's Guide: Comparing Vision AI MCUs on Ease & Speed
How to apply the TinyML approach to detect truck failure related to the Air Pressure System (APS) in a timely manner.
A fun and simple project that uses TinyML to detect and respond to dog barks.
Play Tic-Tac-Toe (also known as Xs and Os) using handwritten digits recognized with the help of TinyML techniques.
Classificate gestures using an Esp32, MPU6050 and Edge Impulse.
Using data from different sensors and ML on the edge, this device can detect early sign of algae bloom and notify authorities or citizens.
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.
A TinyML model to predict the Lithium Ion battery's life cycle within shorter time using Edge Impulse.
Learn why room occupancy detection using environmental sensors and tabular data wins over computer vision.
The AI Guardian for Plants is designed to monitor the soil data in real time
Computer Vision Exploration with the help of Edge Impulse and Arduino.
