A fun and simple project that uses TinyML to detect and respond to dog barks.
Play Tic-Tac-Toe (also known as Xs and Os) using handwritten digits recognized with the help of TinyML techniques.
Classificate gestures using an Esp32, MPU6050 and Edge Impulse.
Using data from different sensors and ML on the edge, this device can detect early sign of algae bloom and notify authorities or citizens.
A proof-of-concept project to recognize air-written alphabet, using Arduino Nano RP2040 Connect run with Edge Impulse tinyML model.
A tiny DIY cam built with Xiao ESP32S3 Sense. Captures images with a button press and saves them to an SD card.
A TinyML model to predict the Lithium Ion battery's life cycle within shorter time using Edge Impulse.
Learn why room occupancy detection using environmental sensors and tabular data wins over computer vision.
The AI Guardian for Plants is designed to monitor the soil data in real time
Computer Vision Exploration with the help of Edge Impulse and Arduino.
In this tutorial，we will show you how to utilize the accelerometer on XIAO BLE Sense combined with Edge Impulse to enable motion recognition
Creating a TinyML Anomaly Detection & Motion Classification project with the IMU MPU2060
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
Use an ESP-32 Cam and an Edge Impulse model to take photos of your avian friends visiting your solar-powered bird feeder!
Can we "hear" a difference between pouring hot and cold water? Amazing proof-of-concept by a quick real deployment using Edge Impulse Studio
Using voice recognition with the in-built microphone, Wio Terminal will be able to recognize the go, stop and background noise by TinyML.
TinyML model running Wio Terminal can identify if animal or human is approaching even in the dark and alert campers.
A modified example that can display the captured image and its classification result on a display. Say goodbye to clumsy WiFi connections!
Solar Harvesting LIC Powered vibration monitoring solution makes uses of embedded AI models to classify vibration anomalies for logistics.
A TinyML model using Arduino Portenta and Edge Impulse to predict the anomalous operation in Industrial machineries like Pump, valves & fans
SensiML Sensing and Control device to protect farmlands from future insects outbreaks and vector-borne disease due to climate change.
Baking Intelligence into a trivial Air Cooler using Person Sensor by Useful Sensor
This project is a proof of concept to test the feasibility of using tinyML with ultra low cost microscopes to classify microorganisms
A TinyML wearable for environmental sensing. Developed with the Edge Impulse platform and powered by the Syntiant TinyML board.
