T4.3.4 - Machine Learning-Enhanced Odor Detection System as Next-Generation Forensic Technology
- Event
- EUROSENSORS XXXVII
2025-09-07 - 2025-09-10
Wroclaw - Band
- Lectures
- Chapter
- T4.3 - Novel Technologies and Applicatons of Sensors 2
- Author(s)
- D. Puglisi, J. Eriksson, I. Shtepliuk, R. Stenberg - Linköping University (Sweden), K. Montelius - National Board of Forensic Medicine, Linköping (Sweden), E. Tavaglione3, B. Fabbri3 - University of Ferrara, Ferrara (Italy)
- Pages
- 120 - 121
- DOI
- 10.5162/EUROSENSORS2025/T4.3.4
- ISBN
- 978-3-910600-07-2
- Price
- free
Abstract
In this work, we present an innovative scent-based detection system able to rapidly detect and correctly classify unique odor signatures released by biological materials from deceased humans as a revolution-izing form of forensic evidence. Our device, equipped with 32 metal oxide semiconductor (MOS) chemiresistive sensor elements and integrated with machine learning algorithms, was applied to differ-ent scenarios, demonstrating the potential of its application in forensic investigations.