Detecting short circuits, open circuits and missing holes in PCB boards with Object Detection and deploying to a Raspberry Pi
Classify a fan's operational state on the 8-bit AVR Curiosity Nano using the SensiML Toolkit.
This tutorial shows how to use AIfES® on PC or in other IDEs and run it on your Arduino board afterwards.
Exploring AAC to substitute hearing through Neosensory Buzz's haptic feedback for deaf parents to connect to their kids.
Using a Raspberry Pi and web camera, do periodic photo capture of cars on the parking and store the car count in the database
Learn how to build a tiny audio classification wearable that can identify dog sounds.The model is trained on synthetic data from ElevenLabs.
My first tinnyML project, Fitness-Band using Arduino Nano BLE sense and Edge Impulse especially on how to collect training data via BLE.
Train an artificial neural network directly on the Wio terminal with AIfES® to recognize simple gestures.
EleTect seeks to safeguard lives, promote harmony, and aid in the preservation of animals by utilizing technology and ecological knowledge.
Identify leaks by using machine learning and a flowmeter to measure and classify the flow of liquid through a pipe.
Energy Usage Optimisation With IoT Assisted Machine Learning
Deploy a TinyML model to detect the states of a 3D printer and monitor those states by sending them over cellular to the cloud.
Use the Sony Spresense with camera board and LTE board to detect potholes and then notify via MQTT the GPS location!
Edge Impulse automatically improves model accuracy with one weird trick!
A snake recognition project using XIAO ESP32-S3 Sense development board, combined with Arduino and Edge Impulse.
Sound classification exploration with the help of Edge Impulse and Arduino.
Use an Arduino Nicla Sense ME and Edge Impulse model to determine your rowing cadence and provide feedback via the IoT Remote app.
A vending machine with gesture controlled touch-free console using computer vision and TinyML with Raspberry-pi Zero W and Arduino Nano.
Learns the colors of three different objects and can later classify them.
The neural network detects movements and directs the camera in the direction of movement and detects objects
TinyML Forest Ranger detects illegal logging using TinyML and LoRa on the Helium Network, enabling real-time alerts for forest protection.
RoHA Project is an IoT based Sensor Node that analyze a persons respiratory health and report its status on device and web application.
Squats counter that can detect squats by measuring the accelerometer readings and prints it on the Serial monitor.
Use a Syntiant TinyML board, an Edge Impulse model, and an 8 Ohm speaker to have Darth Vader at your bidding for your commands!
