The AI Freezer Monitor is a DIY IoT monitor that uses machine learning (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 a Feather HUZZAH32 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.

This project takes about two to three hours to fully complete. But the device will need to passively collect temperature data for about 30 days before you will be able to train the machine learning model.

Parts

Aww yeah, it's the Feather you have been waiting for, this time with pre-assembled headers! The HUZZAH32 is our ESP32-based Feather, made with the...
Out of Stock
Thermocouples are very sensitive, requiring a good amplifier with a cold-compensation reference. The Adafruit MCP9600 does all that for you, and can be easily...
$15.95
In Stock
Thermocouples are best used for measuring temperatures that can go above 100 °C. This is a bare wires bead-probe which can measure air or surface temperatures. Most inexpensive...
Out of Stock
This is a cute half size breadboard, good for small projects. It's 2.2" x 3.4" (5.5 cm x 8.5 cm) with a standard double-strip in the middle and two power rails on both...
Out of Stock
Handy for making wire harnesses or jumpering between headers on PCB's. These premium jumper wires are 3" (75mm) long and come in a 'strip' of 40 (4 pieces of each of ten rainbow...
$3.95
In Stock
This cable is a little unusual, rather than having a USB A plug on one end, it has two Micro B USB connections! What is this for? It's for when you have a "USB...
$1.95
In Stock

This guide was first published on Jan 27, 2021. It was last updated on Jan 27, 2021.

This page (Overview) was last updated on Feb 20, 2021.

Text editor powered by tinymce.