dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor
University of New South Wales
dc.contributor
Casas Piedrafita, Óscar
dc.contributor
Wang, Anna
dc.contributor
Rawat, Siddharth
dc.contributor.author
Trius Béjar, Juan
dc.date.issued
2023-02-01
dc.identifier
https://hdl.handle.net/2117/385653
dc.identifier
ETSETB-230.174566
dc.description.abstract
Pollen detection is an ongoing topic reviewed nowadays. This substance's impact on human healthcare is high, causing diseases, allergies and asthma. The principal limitation is the necessity of post-processing the laboratory. In this project, we propose to use a not usual tool in this field. With its high-information images, Holography may give us the difference when trying to recognize pollen grains. Combined with the powerful processing technique of computer vision, this project could be the first step in the in-live recognition of pollen. It can be ampliated to recognize another type of aerosols.
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya
dc.rights
S'autoritza la difusió de l'obra mitjançant la llicència Creative Commons o similar 'Reconeixement-NoComercial- SenseObraDerivada'
dc.subject
Àrees temàtiques de la UPC::Ciències de la visió::Òptica física
dc.title
Understandting soft matter through the use of novel biophysical tools
