OT2.30 - Deep Learning-Enhanced Density and Viscosity Sensing with Piezoelectric MEMS Resonators for Edible Oil Monitoring
- Event
- EUROSENSORS XXXVI
2024-09-01 - 2024-09-04
Debrecen (Hungary) - Band
- Lectures
- Chapter
- OT2 - Smart Systems and Artificial Intelligence in Sensing
- Author(s)
- J. L. Sánchez-Rojas, V. Corsino, V. Ruiz-Diez - University of Castilla-La Mancha, Toledo (Spain)
- Pages
- 43 - 44
- DOI
- 10.5162/EUROSENSORSXXXVI/OT2.30
- ISBN
- 978-3-910600-03-4
- Price
- free
Abstract
Micromachined plates of varying dimensions, actuated by Aluminum Nitride (AlN) piezoelectric films served as density and viscosity sensors for monitoring edible oils. By analyzing multiple resonances, we obtained valuable insights into the liquid properties. We harnessed machine learning techniques integrated into a low-cost microcontroller board, which also facilitated excitation and data readout through straightforward conditioning electronics. During the training and calibration process, we uti-lized blends of various vegetable edible oils, explored several device geometries, and compared cali-bration errors and resolutions. Our findings underscore the substantial potential of this affordable sen-sor in accurately monitoring the density and viscosity of vegetable oils as an autonomous Internet of Things (IoT) and edge artificial intelligence system.