IoT Belfast 13

We will be hosting this event at the amazing Farset Labs

Please aim to arrive at 6.30pm for an opportunity to say hello, and for some pre-event networking and snacks.

The format will be 3 short 15 minute presentations, each followed by 5 minutes of questions.

1. David Mills from Siemens Mobility, Traffic Solutions will speak about using internet connected microcontrollers from particle.io to automate things at home.

2. Chris Nixon: Modernising Embedded Development with Rust

With the advent of IoT the Embedded software development space is
exploding in way it never has before.
The proliferation of cheap, powerful, hardware and the infrastructure
to support it is opening up a world of
possibilities. Suddenly hobbyists and small businesses can do
awesome things we couldn't even
conceive 10 years ago, it's the PC revolution all over again.

Other areas of computing have enjoyed a proliferation of languages and
tools to support the diverse,
interconnected world that has grown since the early 90s. Embedded has
lagged behind with relatively
inexpressive, error prone, fractured and in many cases expensive,
proprietary tech stacks.

It's time we moved forward. As embedded developers we need to learn
from the advances made in the rest
of computing and bring those advances to our uniquely constrained domain.

This talk will illustrate how Rust offers us the path forward out of
the rut we've found ourselves in.

3. Stevie Gallagher : Portable (sort of) POC for particulate measurements using a Raspberry Pi

PM2.5 and PM10 are key measurements for air quality now increasingly measured worldwide.
The American Heart Association estimates that in the United States alone, PM2.5 air pollution spark some 60,000 deaths a year. In 2013, a study involving 312,944 people in nine European countries revealed that there was no safe level of particulates and that for every increase of 10 μg/m3 in PM10, the lung cancer rate rose 22%. The smaller PM2.5 were particularly deadly, with a 36% increase in lung cancer per 10 μg/m3 as it can penetrate deeper into the lungs.
This project from 1 year ago was the basis of an MSc project to determine how to capture and present PM data as an IOT device with a view to expansion into applications across multiple devices over time and location using a Raspberry Pi.

There will be a short period of networking after the presentations. Then, as is customary, we'll retire to a nearby pub.