Behold! It is I, Monitron!

The names AWS uses for its products range from the excruciatingly literal (eg “Amazon Managed Streaming for Apache Kafka”) to the obscure, but cool-sounding (“Athena”, “Kinesis”). Sometimes they’re just confusing, sounding like they do something they don’t (eg “AppSync”, “Artifact”).

Every now and then though, AWS hit on names that communicate a sense of fun. “Snowcone” is a good recent example, and we can now add to that list “Monitron”, AWS’s complete IoT+ML solution for anomaly detection in industrial machinery.

The hardware even looks like it has a face!

Monitron means you no harm. For perspective, the smaller units are about the size of a matchbox.

In the Amazon Monitron Starter Kit you will find the Monitron Gateway plus 5 matchbox-sized Monitron Sensors. The sensors consist of a triaxial accelerometer, which measures vibration in 3D space, and a temperature sensor. Each sensor is powered by a battery that Amazon estimates will last for 3 years, based on a reporting frequency of once per hour. The reporting frequency cannot be changed, though I’m sure that’s a feature customers will request.

The sensors are designed to be glued permanently on to the equipment you wish to monitor, and from there will communicate their readings back to the gateway, which will forward them to AWS.

The gateway connects to the Internet via WiFi (that’s the only option) and the sensors connect to the base station using Bluetooth 5, which offers significantly better performance over Bluetooth 4 — a four-fold increase in range (up to 40m indoors) and a significant increase in data throughput.

Once your data is in AWS, it can be viewed using the Monitron app, which provides a historical view of sensor data as well as a way to access information about any alarms raised.

Monitron detects abnormal machine operating states by analyzing vibration and temperature signals using the ISO 20816 standards for vibration, as well as machine learning-enabled models. Customers can improve the accuracy of the ML anomaly detection over time by providing feedback to Monitron.

IoT or ML?

So is this product an IoT product or a Machine Learning product?

In reality Monitron is the logical combination of both technological streams, with both IoT and ML technologies crucial to making a functional product.

That said, in the AWS product catalogue Monitron sits under Machine Learning. This perhaps tells us that AWS is less interested in positioning itself as a leader in IoT than it is in emphasising the advances it has made in bringing ML to the problem space of industrial equipment monitoring.

--

--

--

Principal Consultant at Versent. Passionate about Cloud, Culture, DevOps & IoT.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

I lit up when he walked into the room, but he never noticed. He was simply unable and

What is the Business Value of Cloud Computing?

Build Backend Apps At Super Speed with Python FastAPI

Setup K8S single node with docker desktop and Helm

Programmatically Designing a Voice User Interface (VUI) with Amazon’s Alexa and NodeJS

21 React YouTube Channels to Follow Before 2020 Ends

Create Dummy Data Using Tinker In Laravel

DoubleRenderError in Ruby on Rails

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Guy Morton

Guy Morton

Principal Consultant at Versent. Passionate about Cloud, Culture, DevOps & IoT.

More from Medium

3 5G Based Consortia for Automotive & V2X Industry

Disasters Will Happen

Replika: An AI Programmed to Be Your Best(?) Friend

📔What Problem🄪 are you solving?