Density measurement device
Auf einen Blick
- Projektleiter/in : Prof. Dr. Matthias Rosenthal
- Projektstatus : abgeschlossen
- Drittmittelgeber : Innosuisse (Innovationsscheck / Projekt Nr. 51010.1 Inno-ENG)
- Projektpartner : Miromico AG
- Kontaktperson : Matthias Rosenthal
Beschreibung
Counting people and knowing the density or average distance
between people is important information for many different
applications. Especially now, due to the current Covid-19
situation, we have a high demand for a device that can accurately
count people in indoor environments such as cinemas, lecture rooms
at universities, public transportation, etc. The device should be
very simple to install, battery powered without any cables to
connect, and all measurements and processing should be performed
inside the device.In this proposal, we will investigate the
feasibility of abattery-powered edge-computing device that provides
data-centric processing in the mW range. It should use the new
RISC-V processor to perform machine learning algorithms (neural
networks) on images captured with an ULP camera (Ultra-Low Power
Camera). The RISC-V processor is well suited for low-power
performance. The results of the image analysis are transmitted
using a low-power communication technology (LoRa and LoRaWAN®) to
further improve the battery life of the sensor device. In addition,
personal data and privacy is protected because the entire data
processing is performed in theembedded device and no images are
transmitted out of the device. In case of a successful feasibility,
two PoCs are planned to be installed at:
-Zürcher Hochschule für Angewandte Wissenschaften for meeting and
lecture room monitoring
-SBB for railways monitoring