This is a proof-of-concept project that demonstrates the use of TinyML and synthetic dataset for fire detection.
Collecting sensor data from an MCU, transmitting it via BLE, controlling it with an App, and logging it remotely on a spreadsheet.
Self checkout smart cashier using object detection to calculate number of items and total price for your purchase.
Use an Arduino Nano 33 BLE Sense to control a Tello Drone using gestures to fly, land, and move left and right!
Edge Impulse based TinyML model using Audio data acquisition to predict the vehicle failures like faulty drive shaft, Brake pad noises.
A low power vision-based sewer faults detection device using a tinyML neural network to produce highly accurate sewer faults classification.
Your productivity powerhouse.
How to create a gesture recognition system with Arduino and Neuton TinyML
A pocket-sized medical device based on TinyML application using Edge Impulse to predicts the Covid patient's health conditions.
Measure the flow rate through a pipe and use machine learning to determine if a clog has formed.
New methodologies of horticulture based-on high-end technology are urgently required to transform the way in which the world is fed.
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.
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
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.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
We continue exploring Machine Learning on the giant new tiny device of Seeed XIAO family, the ESP32S3 Sense.
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.
A TinyML keyword spotting application using Arduino Nano 33 BLE Sense to control gesture inferences of a bionic 3D printed hand
Reduce water consumption by triggering irrigation events when drought stress is identified via Arduino image classification.
This little AI device will make sure that you make all required movements per day for rotator cuff injury recovery.
