Check out the new Arduino Nano RP2040 Connect that uses Raspberry Pi's custom silicon for a powerful IoT device.
An attempt to identify location just using sound, similar to how humans do it just by listening.
In the TinyAnimal project, I will present the practices of EdgeML on the real-world cheap edge AI hardware.
Imagine a voice-controlled AI assistant, powered by LLM, running entirely on a tiny, low-power device.
No board with you? Test your project using Wokwi and Raspberry Pi Pico to run and simulate neural network models.
Smart headgear that covers up your safety on road with tinyML-based crash detection and SOS alert over LTE-M
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
Regression can be hand when classification goes with a high number of classes.
Control your home with just your voice! Our TinyML-powered offline smart automation lets you say “Lights On” to switch devices—no cloud need
As the vision-based technology of hand gesture recognition is an important part of human-computer interaction.
AI enabled real-time decision making and predictive analysis. Maximizing productivity, ensuring safety, and analyzing real-time data.
A simple voice recognition project using Codecraft graphical programming, Wio Terminal and Edge Impulse.
Using a new face ID sensor from Useful Sensors, a Syntiant TinyML board, and an Edge Impulse model, make your picture haunted for Halloween!
TinyML solution for Plant health prediction using Nvidia Jetson nano & Edge Impulse
Bridging the gap between training on synthetic data and real data in TinyML.
With this shared document, you will learn how to use YOLOv5 and Roboflow for less projectile object detection.YOLOv5 supported hardware:
Build a custom Feather board to interface to a hydrophone to your Arduino and CircuitPython dev boards.
TinyML based Door Lock detector using Edge Impulse Software which detects whether the door is not locked properly based on sound
Mount a camera in an industrial or manufacturing location to detect worker falls with computer vision.
How to use ESP-EYE to run image recognition to recognize hand gestures for rock, paper, and scissors, and how to train it on your own data.
A TinyML-powered CV cane to solve an everyday challenge for the blind - crossing the street.
Poison ivy causes painful rashes & is found in places with poor reception (forests). Use this edge ML tool to ID poison ivy on your hike!
In this project, I built an application with TensorFlow Lite to recognize "Stop" and "Go" to wake up the device.
Use the Useful Sensors Person Detector to play a hands-free game of Pong. Thanks ML!
