Learn to create custom vision and audio TinyML models on Seeed Studio Grove Vision V2 using Edge Impulse, from data collection to deployment
Using an outdoor smart sensor - A1101 to detect the accumulation of leaves, flower and other debris for a balcony drain and alert its user.
Edenoff, a TinyML Arduino device was modified for secure and interactive demos at Maker Faire Rome 2022
A wildlife sanctuary environment and animal monitor to maintain the sustainability of the sanctuary
Smart collars, safer communities - technology for peaceful coexistence.
NMCS is a device that uses its hearing and seeing skills to make sure that your coffee doesn't spill when making your energy booster.
Vision based technology using TinyML for plant leaf disease classification.
This project implements a real-time Fall Detection System using the Arduino Nano microcontroller, designed to enhance the safety of elderly
Automatic FOMO-based objects counting using computer vision and a web app.
We continue exploring Machine Learning on the giant new tiny device of Seeed XIAO family, the ESP32S3 Sense.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
This piece of art knows when it’s being photographed thanks to TinyML
We are continuing our exploration of Machine Learning on a giant tiny device, the Seeed XIAO BLE Sense. And now, classifying sound waves.
Computer Vision Exploration with the help of OpenMV, Edge Impulse, and Arduino.
A TinyML keyword spotting application using Arduino Nano 33 BLE Sense to control gesture inferences of a bionic 3D printed hand
Computer Vision Exploration with the help of OpenMV, Edge Impulse and Arduino.
Reduce water consumption by triggering irrigation events when drought stress is identified via Arduino image classification.
The project attempts to recognize different bird calls by continuously listening to the audio using Arduino Nano 33 BLE Sense.
Learning Image Classification on edge devices (Android)
DL and GenAI Hands-On with the Raspberry Pi
Use machine learning to build a system that can recognize audible events, particularly your name through audio classification.
EdgeAI made simple - Exploring Image Processing (Object Detection) on microcontrollers with Arduino Portenta, Edge Impulse FOMO, and OpenMV
Controlling DJI Tello drone with gestures via the M5Stack FIRE module and Edge Impulse.
