Summary

In this technical webinar, we will explore how developers can quickly and effectively create and deploy machine learning models for IoT applications using Particle and Edge Impulse. Whether you're working on predictive maintenance, asset tracking, or environmental monitoring, this session will show you how to leverage Edge Impulse's powerful tools for training machine learning models that run directly on Particle’s Muon and M-SoM devices, including cellular, Wi-Fi, and Bluetooth connectivity options.

You will see how to build solutions that enable real-time data collection and edge processing, and learn how these capabilities are key to improving sensor accuracy, predicting failures, and optimizing system performance in complex systems.

To demonstrate, we’ll also walk through the use of a regression model developed with Edge Impulse to compensate for a system’s drift. The model will be trained against readings taken with a known weight and taught to estimate the error.