Ali Abbass
Industrial Facilities Rooftop Detection Using Aerial Imagery.
Rel. Marcello Chiaberge, Umberto Albertin, Francesco Messina. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (7MB) | Preview |
Abstract
Inspection is an essential phase for identifying potential defects and minimizing risks, especially in critical building components. The primary focus of this work is the monitoring of industrial facility rooftops. Rooftops are the main part of any building or facility, and roof defects pose risks to personnel and equipment, therefore regular inspections enable timely repairs or replacements, preserving the proper functionality and safety of industrial facilities. In the past, these inspections were carried out through manual surveys, which are time-consuming, prone to human error, costly, and often hazardous for workers. The advent of new technologies, such as Unmanned Aerial Systems (UAS), has proven to be an effective option for overcoming these limitations.
Unmanned Aerial Vehicles (UAVs), commonly known as drones, provide potential as effective tools for infrastructure inspections
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
