“An anomaly detecting freezer monitor designed to work in ultra low temperature scientific freezers.
The Azure Powered AI Freezer Monitor is a maker hardware based IoT monitor that uses machine learning, or ML, to provide early warnings of potential equipment failure. This guide covers building the device, collecting training data, setting up email alerts, training a custom auto encoder machine learning model, and deploying the model to an ESP32 development board.
The project is designed to be functional for low temperature scientific freezers (-60 C), with the goal of reducing catastrophic failure and the need to keep backup freezers running full-time. However, please note that this project is primarily for demonstrative and educational purposes and has not gone through extensive testing.”