Since my last post I’ve improved the Arduino speedo code to respond to requests and also tweaked the gear ration to be a bit closer to my road bike. I’ve also implemented a simple speedo interface using Unity.
The Unity application also automatically searches the COM ports on the machine until it finds the Arduino speedo, it’s a bit hacky but works and means I don’t have to implement a COM port selection UI.
I’m going to add functionality to save off the readings to CSV log files too, at a later date I’ll add some kind of analysis in but getting the data saved is the important thing for now.
Update: CSV functionality has been added and I’ve tweaked the interface too.
For the Arduino portion of this weekend long hack, see here.
As we’ve just had our big media launch of the project I thought I’d share some information about the project I’ve been working on as part of my job at the Satellite Applications Catapult here in the UK.
For the passed 18 months we have been working on a project with Pew Charitable Trusts with the goal of building a system to use satellite derived data to track and deter illegal fishing at sea. Around one in five fish sold today is illegally caught so it’s a certainly a big problem to tackle.
Our system uses a live feed of vessel positions, currently provided by ExactEarth, using satellite AIS (Automatic Identification System) combined with a few other data sources to create a near real-time and historical view of fishing activity around the world.
We’re using the Unity games engine for data visualisation and as the interface to the system, both on our video wall and desktop machines, and we have a tablet version in the works. The video wall runs at 11536×3252 and Unity runs a treat!
We’ve a lot of vessels tracked at any point in time, all of which are rendered and animated on the screen at an accelerated rate for analysis. We are building the system using MMOs as inspiration as we’ve all seen how it’s possible to organise and work in a large group of people in raids to achieve a common goal. Having analysts working globally with large sets of data, it seemed a good model of interaction to follow.
A few screenshots and a video of the software in action are below, as the son of an engineer and ecologist I’m happy to say I’m proud of the work we’re doing and this is only the beginning!
We’re considering doing a live presentation of the system in a few weeks using Twitch or similar, if anyone would be interested in a demo or if you’ve any thoughts or comments please feel free too leave them below.