Day 82: Loud sound warning! I got my #ESP32 to detect "anomalies" in the fan (using #TensorFlow Lite).

#100DaysOfCode #arduino #tinyml #electronics #MachineLearning #ml #ai

It looks mighty unimpressive, but it's my first self trained @TensorFlow lite/micro model running on an #esp32 inferring a cosine function with a given input between 0..2*PI. Inference takes about 80-90uS per value. #tinyml @EspressifSystem #iot #EdgeComputing

It looks mighty unimpressive, but it's my first self trained @TensorFlow lite/micro model running on an #esp32 inferring a cosine function with a given input between 0..2*PI. Inference takes about 80-90uS per value. #tinyml @EspressifSystem #iot #EdgeComputing

Machine learning (ML) algorithms come in all shapes and sizes, each with their own trade-offs. We continue our exploration of TinyML on Arduino with a look at the Arduino KNN library.




https://www.youtube.com/watch?v=v6B7MLs3Eyo&feature=emb_title




In…

If you’re interested in embedded machine learning (TinyML) on the Arduino Nano 33 BLE Sense, you’ll have found a ton of on-board sensors — digital microphone, accelerometer, gyro, magnetometer, light, proximity, temperature, humidity and color — but realized…

Smartglove for Cyclists: In this instructable, I will detail how I made this "smartglove" and its LED panel so that cyclists or other road users can ride/drive safer. Here is a short demo so you can see how it works (there is another video on my bike at the…

A TinyML based Medical device powered by Edge Impulse to predict Atrial fibrillation, AV Block 1 and Normal ECG with >90%.

BABL leverages tinyML to distinguish a baby's cry from other noise, preventing false alarms, and alerting parents only when needed.

A tinyML model to predict the life cycle of a lithium-ion battery.