Toolkit for urban data collection
Toolkit for decision makers and specialists to gain experience with data collection.
A smart city starts with high-quality data with a continous in-stream of more measurements which represent the current situation. This is the basis for every data analysis or machine learning model and needs to be built up first. For a city that is at this first stepping stone, it is not always easy to tell which data matters. To avoid a huge inital investment for the city's step into IoT, it would be great when a set of sensors together with an easy to use software would exist, so that desicion makers as well as specialists of the city administration can gather experience with data collection and its analysis before they decide about a bigger investment.
Aside of deployment in a testing phase, this toolkit could also be used for temporary use in a location, e.g. in advance of opening a construction site to gain some traffic data to estimate how many cars must be rerouted during the construction.
Most of the implementation can be done with a handful of open source projects, while for the sensors already existing solutions can be used. Those sensors are cheap and easily integrated into a system with a clean interface.
The project needs Python and web developers for creating the backend and user interface, microcontroller developers for the sensors and people that find use cases for such a toolkit, preferably directly with employees of the municipy.
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Worked on by michel
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Initialized by michel