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Precision livestock farming based TinyML device for early detection of pigs respiratory diseases using Edge Impulse.
To fight against plastic pollution for marine life
Edge Impulse based TinyML model using Audio data acquisition to predict the vehicle failures like faulty drive shaft, Brake pad noises.
EdgeAI made simple - Exploring Image Processing (Image Classification) on microcontrollers with Arduino Portenta, Edge Impulse, and OpenMV.
Seeed Studio's Codecraft now gets powered by Edge Impulse leading to the development of next-generation of developing embedded ML projects!
Develop a simple, low-cost AI-powered wearable with the XIAO nRF52840 Sense that detects hand gestures and controls real-world devices.
A pocket-sized medical device based on TinyML application using Edge Impulse to predicts the Covid patient's health conditions.
Your personal doctor at your fingertips!
AI computer vision will detect a gun to trigger a loud siren without human intervention.
A smart helmet for cyclists that recognise audio instructions from the rider and activates LEDs at the back to indicate left or right turns.
Using gesture recognition with the in-built light sensor, the Wio Terminal will be able to recognize the rock, paper and scissor gesture.
This tinyML project aims to protect farms from pests and it also keeps updating the owner on climate and soil conditions.
Want to build your own TinyML application? This is a detailed approach to getting started with TensorFlow Lite for Microcontrollers!
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!
Ever wanted to build your own Unity game, use an accelerometer for the controller or sprinkle a bit of AI in it? Well, here's how!
A low power vision-based sewer faults detection device using a tinyML neural network to produce highly accurate sewer faults classification.
This little AI device will make sure that you make all required movements per day for rotator cuff injury recovery.
How to create a gesture recognition system with Arduino and Neuton TinyML
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.
