WaterLens combines four water sensors, Arduino UNO Q and local Edge AI to recognize patterns and flag changes from a tap-water reference.
Our pets deserve more to stay active. A tinyML model predicts activities based on the data coming from 3 Axis IMU.
Building an inclination estimator system with Arduino Nicla Sense ME and Neuton TinyML
Learning Image Classification on embedding devices (ESP32-CAM)
Developing a TinyML solution for the Shipping Industry that allows users to track the status of a shipment/package in real time.
Creating a faster, smaller, and more accurate magic wand than the famous experiment provided in Arduino Sketch, given the same hardware.
Implementing sensor fusion to detect smoke and reduce false alarms.
Applying sensor fusion with RSL10 and Bosch sensors to run a TinyML model for predictive maintenance of compressor water pumps.
Exploring Machine Learning on the tiny device of the Seeed XIAO family, the ESP32S3 Sense and SenseCraft-Web-Toolkit
A fun and simple project that uses TinyML to detect and respond to dog barks.
A sealed ±32 g edge-AI node plus the whole stack — firmware, OTA, cloud, API, dashboards. You build only what makes your product yours.
Play Tic-Tac-Toe (also known as Xs and Os) using handwritten digits recognized with the help of TinyML techniques.
Using data from different sensors and ML on the edge, this device can detect early sign of algae bloom and notify authorities or citizens.
Exploring Computer Vision applications such as Image Classification, Object Detection, and Pose estimation.
Computer Vision Exploration with the help of Edge Impulse and Arduino.
Learn why room occupancy detection using environmental sensors and tabular data wins over computer vision.
Creating a TinyML Anomaly Detection & Motion Classification project with the IMU MPU2060
Use an ESP-32 Cam and an Edge Impulse model to take photos of your avian friends visiting your solar-powered bird feeder!
Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.
Using voice recognition with the in-built microphone, Wio Terminal will be able to recognize the go, stop and background noise by TinyML.
A TinyML wearable for environmental sensing. Developed with the Edge Impulse platform and powered by the Syntiant TinyML board.
Can we "hear" a difference between pouring hot and cold water? Amazing proof-of-concept by a quick real deployment using Edge Impulse Studio
TinyML model running Wio Terminal can identify if animal or human is approaching even in the dark and alert campers.
A TinyML model using Arduino Portenta and Edge Impulse to predict the anomalous operation in Industrial machineries like Pump, valves & fans
