Controlling DJI Tello drone with gestures via the M5Stack FIRE module and Edge Impulse.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
TinyML model running Wio Terminal can identify if animal or human is approaching even in the dark, sends data to Helium LoRa network to AWS.
Turn minefields into playgrounds. Our AI robot autonomously detects landmines, clearing a path for a safer future.
Motion classification and Anomaly Detection exploration with the help of Edge Impulse and Arduino Nicla Vision.
FOMO in ESP32 CAM detected a potato beetle with the help of detection it will be possible to have statistics and take measures
This tutorial shows how to train an artificial neural network with AIfES on a PC and run it on your Arduino board afterwards.
Waste management on your campus with advanced AI-powered waste sorting system, promoting sustainability and inclusivity.
Scale your parking lot monitoring system or any TinyML solution using AWS IoT, Edge Impulse and Balena.
This project can automatically classify three different musical genres (i.e., classical, metal, and reggae) from device-playing music files.
Controlling DJI Tello drone with vision-based gesture commands via inferencing from Edge Impulse.
This ML powered device smell diesel and send realtime notification on mobile. Using Wio terminal, Edge Impulse & Blynk.
Fall detected, help connected—your safety, our priority
AEye can be able to detect when your stove has been left unattended using Wio Terminal and thermal camera.
Complete quality control of your sleep.
Smart beehive monitoring systems
Transforming air quality monitoring with cutting-edge technology. Our system combines advanced sensors and real-time analytics for proactive
Seeed Wio Terminal programed using Codecraft/Edge Impulse is a fantastic tool for beginners to start on tinyML (Embedded Machine Learning).
This project uses TinyML model and Arduino TinyML kit to monitor animals in the surroundings.
This tutorial shows the different ways how to perform an inference in AIfES®.
Empowering Students for a Sustainable Future through Real-time Water Monitoring and Wastage Prevention with TinyML and IoT
A TinyML model using Edge Impulse and wio terminal to predict the faulty lithium ion cell in BMS pack
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
A computer vision model using Edge Impulse to assist the driver to park the vehicle in parking space.
