Software Campus: FeinPhone

March 4th, 2015  |  Published in Research

The ubiquity of mobile networks and smartphones in principle offers an excellent infrastructure for participatory environmental measurements, e.g. in Smart City scenarios. Modern smartphones are already equipped with a variety of internal sensors. In some current models, even environmental sensors for measuring temperature, humidity and air pressure can be found. However, phenomena such as the air quality so far only can be detected with dedicated devices that measure stand-alone or communicate their sensor readings to a smartphone. This places additional cost and maintainance burdens on the user.

On the other hand, enabling particulate matter readings with smartphones has a large potential. The particulate matter air pollution in cities today is measured by expensive, static monitoring stations with poor spatial and temporal resolution. Distributed mobile measurements would enable applications such as fine-grained dynamic pollution maps, hotspot detection or reactive systems, e.g. for traffic control, in scenarios of future smart cities. These all require dense, distributed measurements. In order to reach this goal, this project aims to explore the measurement of particulate matter using off-the-shelf smartphone sensors and simple passive hardware addons.

The core tasks covered in this Software Campus project are to develop and evaluate a suitable clip-on sensor module for smartphones as well as an app and suitable algorithms for the processing of the recorded images on the smartphone.

MobileDust - Mobile Particulate Matter Measurements with Smartphones


  • 04/2015 – 05/2017


  • Siemens AG

Research topics

  • Environmental Sensing
  • Mobile Computing
  • Participatory Sensing


  • Matthias Budde (email: budde(at)

Selected Publications

Matthias Budde, Almuth D. Schwarz, Thomas Müller, Bernd Laquai, Norbert Streibl, Gregor Schindler, Marcel Köpke, Till Riedel, Achim Dittler, Michael Beigl (2019) Potenzial und Grenzen des kostengünstigen SDS011 Partikelsensors bei der Überwachung urbaner Luftqualität, Umwelteinflüsse erfassen, simulieren, bewerten - 48. Jahrestagung der GUS 2019, p. 271-280, GUS, pdf

Matthias Budde, Simon Leiner, Marcel Köpke, Johannes Riesterer, Till Riedel, Michael Beigl (2019) FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor, Sensors 19(3), p. 749, pdf, doi:10.3390/s19030749

Matthias Budde, Almuth D. Schwarz, Thomas Müller, Bernd Laquai, Norbert Streibl, Gregor Schindler, Marcel Köpke, Till Riedel, Achim Dittler, Michael Beigl (2018) Potential and Limitations of the Low-Cost SDS011 Particle Sensor for Monitoring Urban Air Quality, ProScience 5(3rd International Conference on Atmospheric Dust (DUST2018)), p. 6-12, url, doi:10.14644/dust.2018.002

Matthias Budde, Thomas Müller, Bernd Laquai, Norbert Streibl, Almuth D. Schwarz, Gregor Schindler, Till Riedel, Michael Beigl, Achim Dittler (2018) Suitability of the Low-Cost SDS011 Particle Sensor for Urban PM-Monitoring, Scientific Research Abstracts 8 (DUST 2018), p. 11, pdf

Jan-Frederic Markert, Matthias Budde, Gregor Schindler, Markus Klug, Michael Beigl (2018) Privacy-Preserving Collaborative Blind Macro-Calibration of Environmental Sensors in Participatory Sensing, EAI Endorsed Transactions on Internet of Things 18(10), pdf, doi:10.4108/eai.15-1-2018.153564

Matthias Budde, Andrea Schankin, Julien Hoffmann, Marcel Danz, Till Riedel, Michael Beigl (2017) Participatory Sensing or Participatory Nonsense? — Mitigating the Effect of Human Error on Data Quality in Citizen Science, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1(3), pdf, doi:10.1145/3131900

Matthias Budde, Marcel Köpke, Michael Beigl (2016) Design of a Light-scattering Particle Sensor for Citizen Science Air Quality Monitoring with Smartphones: Tradeoffs and Experiences, ProScience 3(2nd International Conference on Atmospheric Dust – DUST2016), p. 13-20, url, doi:10.14644/dust.2016.003

Matthias Budde, Rikard Öxler, Michael Beigl, Jussi Holopainen (2016) Sensified Gaming – Design Patterns and Game Design Elements for Gameful Environmental Sensing, 13th International Conference on Advances in Computer Entertainment Technology (ACE2016), ACM, pdf, doi:10.1145/3001773.3001832

Matthias Budde, Michael Beigl (2016) Advances in Smartphone-based Fine Dust Sensing, II International Conference on Atmospheric Dust – DUST 2016 5, p. 23, pdf

Matthias Budde, Marcel Köpke, Michael Beigl (2015) Robust In-situ Data Reconstruction from Poisson Noise for Low-cost, Mobile, Non-expert Environmental Sensing, 19th International Symposium on Wearable Computers (ISWC'15), pdf, doi:10.1145/2802083.2808406

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