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“Using a Tensorflow Lite Micro model this edge device keeps an ear out and vibrates if you are snoring. Overview Snoring is estimated to affect 57% of men and 40% of women in the United States. It even occurs in …
“A system which detects intruders in dark with a low resolution thermal camera connected to a Raspberry Pi Pico using a TensorFlow Lite model Suppose you are alone at home or out for shopping or on vacations and someone breaks …
“Combine TensorFlow.js with Node-RED to create AI-enabled Node-RED applications in various environments Lowering the barrier to entry for artificial intelligence (AI) is a goal that is continually strived for. Making AI more widely accessible will not …
“Easy object detection framework that can be used to create a La Croix Flavor Detector or any other object detection project in Python! Teachable Machine is an easy, but powerful tool to create machine learning models. It allows for easy …
“The TinyML Wake Word demo on the Raspberry Pi Pico. A less than $10 wake word! TinyML Wake-Word Detection on Raspberry Pi Pico This application implements the wake word example from Tensorflow Lite for Microcontrollers on the Raspberry Pi Pico …
“Learn to build your very own smart weather station powered by machine learning, from data acquisition to training to deployment! In today’s tutorial, learn to create your own Wio Terminal Smart Weather Station with TinyML powered prediction capabilities! This …
“A TensorFlow Lite Micro Speech model that detects wake words and turns on a different coloured LED light to emulate traffic lights. Introduction and Motivation Machine learning typically involves lots of computing power, and these are usually in the form …
“Right now, it is very important that everyone around us does their part and wears a mask! This device can help with that! For Hack the North, my team and I thought of the brilliant idea of creating a device …
“Train a TensorFlow model to recognize certain keywords and control an RGB light strip using an Arduino Nano 33 BLE Sense. The Premise Machine learning at the edge is extremely useful for creating devices that can accomplish “intelligent” tasks with …
“This IMU-equipped pen is trained to recognize handwritten numbers Overview In this project, I build a pen device which can be used to recognize handwritten numerals. As its input, it takes multidimensional accelerometer and gyroscope sensor data. Its output …