OT7.43 - Tailoring Spectral Sensors for Specific Applications
Dados Bibliográficos
| ID | 5955834 |
|---|---|
| Autores | Don M J Van Elst (0000-0002-0228-1390), A Van Klinken, Fang Ou (0000-0002-5037-0857), Mildred S Cano‐velázquez (0000-0002-9128-0161), M S Cano-Velázquez, Can Li (0000-0001-8438-1549), Maurangelo Petruzzella (0000-0002-6466-5322), P J Van Veldhoven, Angela Fiore (0000-0001-9172-2903) |
| Ano | 2024 |
| Páginas | 209-210 |
| Data de publicação | 2024-01-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Lectures (BOOK_SERIES) |
| Identificadores do periódico | ISSN: 2116-5289 • E-ISSN: 2116-5289 |
| Editora | OpenEdition Journals (PUBLISHER) |
| DOI | 10.5162/eurosensorsxxxvi/ot7.43 |
| OpenAlex | W4402804856 |
| Idioma | EN |
Spectral sensing in the near-infrared is a powerful method for non-destructive analysis of material composition in a wide variety of applications. A spectral sensor typically consists of an array of detec-tors, each responsive in a given spectral band. We have demonstrated an algorithm capable of tailo-ring spectral sensors to specific applications. By optimizing for all combinations of spectral bands a non-trivial solution can be found, outperforming hand-picked designs. High sensing performance can be achieved even with a few pixels, resulting in cost-effective spectral sensors with simple read-out
Analytical Chemistry and Sensors · Computer Science · Gas Sensing Nanomaterials and Sensors · Water Quality Monitoring and Analysis
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |