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Train a robust machine learning model and deploy to an ESP32 dev board using the Arduino TensorFlow Lite library to perform inference.
In this tutorial, we will re-train the machine learning models and use those models to predict anomalies in real time using and ESP32 and a Raspberry Pi
I will walk you through the process of creating an end-to-end Edge AI system that can be used to detect anomalies in an electric motor.
How to save specific values from Atmosphere IoT to the cloud and retrieve that data.
Increasing sensor accuracy is possible by averaging the data points to eliminate extreme points. It’s simple with Atmosphere IoT Studio programming blocks.
The Pi Weather Shield is a perfect tool for measuring the world around your project, on the move or not, with Atmosphere IoT Studio stay updated everywhere.
Atmosphere IoT Studio can help build your own personal robot and control it over any smartphone.
The 1-Click Motor Controller Board makes DC motors a snap with Atmosphere IoT Studio in the driver’s seat, simple to use and easy to program.
Cloud Storage can be more than making sure email stays available. It can improve up time and system reliability with minimum overhead.