HackSpace_-_October_2019

(Rick Simeone) #1

The


Volcano


logists


The Volcanologists


INTERVIEW


it. We couldn’t get the grant that we
asked for, so we decided that we’d make
one ourselves.
We started looking at hacking the
Raspberry Pi Camera Module, and it’s
surprisingly sensitive to UV, once you
take the Bayer layer off. There are certain
ways that you do that to make it as good
as possible, and it’s actually better than
some systems you can buy for £10K.

Tom Wilkes I guess the idea came
from astronomy, but it’s actually just a
smartphone sensor so it’s modified gear
that’s actually just used for basically
anything you could think of. People use
it for surveillance, wildlife studies, so it’s
just your bog-standard camera sensor
that you’d find in a smartphone. What’s
great about it is how cheap it is; that’s

the main thing. Because so many people
use these cameras, they have such wide
applications, they can be made for next
to nothing, and so that’s the advantage
of this.
You can use either type of Raspberry Pi
Camera Module; once we remove the lens
system, they’re exactly the same sensor
(the NoIR just has the near-infrared filter
removed from the lens system).

AMcG The key issue is that we strip
the sensor down so that it can see
ultraviolet light, and then we rebuild
the system with new lenses that are UV
transmissive. There’s a thing called the
Bayer filter on the sensor that makes
it see red, green, and blue pixels to get
colour images, but for what we do, we
need to see ultraviolet light, and that



Using the
Raspberry Pi
Camera Module is
actually better than
some the systems
you can buy for £10K

HackSpace You’re monitoring volcanic
activity, with a Raspberry Pi Camera
Module. How on earth does that work?
We would have thought you’d be taking
samples of gases, or using a seismograph
to measure vibrations under the earth.
How does taking photographs help you
discover what’s going on in the centre of
a volcano?

Andrew McGonigle One of the main
components of volcanic gas release is
sulphur dioxide [SO 2 ], which absorbs
really strongly in the UV range at a
wavelength of about 300 nanometres. The
gases come out of the top, so if you can
develop a UV imaging camera and point
it at the volcano, some pixels are going to
be darker, because of that absorption of
the UV light. You can see that absorption,
and you can process that to work
out the amount of gas coming out
per second.
What you end up with is
something that looks like the output
of a thermal camera, but showing
gases escaping, rather than heat.
Scientific-grade UV cameras are
really expensive. It was almost an
accident that we started working
with Raspberry Pi technology, but a
good accident, in terms of costs.

HS How expensive is ‘really expensive’?

Tom Pering The UV cameras traditionally
used in volcanology are meant for
things like astronomy, and they’re
adapted for our purposes: that’s why
they’re so expensive. The commercial
systems that we used to use, and
that our colleagues in Italy use, cost
somewhere in the region of £10K to
£14K, that level. Using Raspberry Pi, we
can make one for a couple of hundred
quid, which is absolutely amazing. Even
the design and development stage, we
probably only spent four or five thousand
pounds. We undercut the commercial
system immediately.
Part of the reason we started looking
into this is that we couldn’t buy the
commercial system: we couldn’t afford

filter absorbs all the UV. What we did
was we worked out – after a lot of trial
and error – a way of getting that filter off
without killing the sensor.
It just so happened that the Raspberry
Pi version 1 camera had a sensor where
we could, relatively easily, get it off. The
version 2 cameras, we think we’ve done
it with hydrofluoric acid, but that’s not
really ideal. For which reason, when the
version 1 cameras were discontinued, we
bought in 400 of them, which are sitting
in my office, so we’re future-proofed.

HS And what version of the Raspberry
Pi are you using at the moment?

AMcG We’re using Raspberry Pi 3 at the
moment, because we need the built-in
wireless capabilities. We connect from
a laptop to the camera using the
wireless that’s built-in. We don’t
need to move to Raspberry Pi 4; I
don’t think this application needs
[the extra power].

HS What was the eureka moment
that led you to build a camera?

TP It was just a random idea.
We needed the cameras, but we
couldn’t afford them. I’d done
some work previously on low-cost
measurements; Tom came along and
gave it a go, and it turned out to work
really well. We tested it at Drax power
station [near Selby] to begin with, then
went to Etna to test it, alongside the
commercial system.

TW We’ve got two versions: one in the
bigger box that uses a USB power pack
to power both Raspberry Pis, and there’s
this one that runs off mobile phone
batteries. I had this running for six/seven
hours off 3.7 V batteries. That’s another
advantage that we don’t think about so
much: the fact that these things use a lot
less power than expensive UV cameras.
That’s really important when you’re
going somewhere as remote as Papua
New Guinea, where power’s an issue.
A 20 amp power bank will last all day.
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