Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
On the use of different image filters for damage detection in concrete-like structures using aerial photographs from UAV
Submission Author:
Bruno Soares dos Santos , SP , Brazil
Co-Authors:
Bruno Soares dos Santos , Renan Sanches Geronel, Camila Gianini Gonsalez Bueno, Douglas Bueno, Rodrigo Borges Santos
Presenter: Lorena Lopes Dias
doi://10.26678/ABCM.COBEM2023.COB2023-1825
Abstract
Detecting incipient damages in structures is an important task for establishing a new structural health monitoring (SHM) process, and it has a positive impact on reducing costs and increasing the safety of equipment and structures. In particular, in Brazil there are several large concrete-based structures, such as viaducts and bridges, for which detecting small damages is a relevant challenge, mainly due to their dimensions and limited access for inspection. However, the development of unmanned aerial vehicles (UAVs) allows one to simplify the procedure in different engineering services, including to take aerial photographs. Aerial photographs can be used to evaluate the structure and establish new SHM processes. However, this type of procedure involves an accurate image post-processing to detect the damage minimizing false alarms. Thus, this article presents an investigation on the use of different filters applied to aerial photographs obtained from a quadcopter-type UAV. The photographs are obtained in a controlled flight by a pilot on the ground and they are computationally evaluated using an algorithm written in Python. The proposed SHM process involves obtaining images of the structure in the undamaged condition and with a typical damage to be detected. Different filters are evaluated, such two of them are spatial-based and a third one is a frequency based filter. The analyses are performed considering concrete structures with crack-type damages, and the influences of different factors, such as flight speed, distance between UAV and structure, lighting conditions, among others, are evaluated. The results include developing a framework for aerial images analysis, as well as the definition of a process to obtain the photographs from an UAV, considering the preparation and flight stages. The effect of the filter mask dimension is investigated by considering different strategies to apply on the image edges. The results demonstrate that spatial filters are very simple to be considered and they provide interesting results. The proposed approach contributes to increasing the safety of concrete structures, with the potential for generating technological products and services.
Keywords
Damage detection and structural health monitoring, Computer Vision, Artificial Intelligent Applications, Unmanned aerial vehicle, image processing
