Jon Nordby
Jon is a Machine Learning Engineer specialized in IoT systems. He has a Master in Data Science and a Bachelor in Electronics Engineering, and has published several papers on applied Machine Learning, including topics like TinyML, Wireless Sensor Systems and Audio Classification.
These days Jon is co-founder and Head of Data Science at Soundsensing, a leading provider for condition monitoring solutions for commercial buildings and HVAC systems.
He is also the creator and maintainer of emlearn, an open-source inference engine for microcontrollers and embedded systems.
Sessions
Learn to build powerful sensors running on low-cost microcontrollers, all in Python!
Did you known that (Micro)Python can scale all the way down to microcontrollers
that have less than 1 MB of RAM and program memory? Such devices can cost just a few dollars, and are widely used to measure, log, analyze and react to physical phenomena. This enables a wide range of useful and fun applications - be it for a smart home, wearables, scientific measurements, consumer products or industrial solutions.
In this talk, we will demonstrate how to get started with MicroPython on a ESP32 microcontroller.
We will first show how to create a basic Internet-connected sensor node using simple analog/digital sensors. And then we will show how to create advanced sensors that use Digital Signal Processing and Machine Learning to analyze microphone, accelerometer or camera data.