Next Article in Journal
Chronometric Quantitation of Analytes in Paper-Based Microfluidic Devices (MicroPADs) via Enzymatic Degradation of a Metastable Biomatrix
Previous Article in Journal
Noise Cancellation for HIPERLAN/2 with Open Loop Transmit Diversity Technique
Previous Article in Special Issue
A Semi-Supervised Based K-Means Algorithm for Optimal Guided Waves Structural Health Monitoring: A Case Study
Open AccessArticle

A Low-Cost Robotic Camera System for Accurate Collection of Structural Response

School of Architecture, Design and the Built Environment, Nottingham Trent University, Nottingham, NG1 4FQ, UK
*
Author to whom correspondence should be addressed.
Inventions 2019, 4(3), 47; https://doi.org/10.3390/inventions4030047
Received: 7 July 2019 / Revised: 14 August 2019 / Accepted: 20 August 2019 / Published: 21 August 2019
(This article belongs to the Special Issue Structural Health Monitoring and Their Applications Across Industry)
Vision-based technologies are becoming ubiquitous when considering sensing systems for measuring the response of structures. Availability of proprietary camera systems has opened up the scope for many bridge monitoring projects. Even though structural response can be measured at high accuracies when analyzing target motions, the main limitations to achieving even better results are camera costs and image resolution. Conventional camera systems capture either the entire structure or large/small part of it. This study introduces a low-cost robotic camera system (RCS) for accurate measurement collection of structural response. The RCS automatically captures images of parts of a structure under loading, therefore, (i) giving a higher pixel density than conventional cameras capturing the entire structure, thus allowing for greater measurement accuracy, and (ii) capturing multiple parts of the structure. The proposed camera system consists of a modified action camera with a zoom lens, a robotic mechanism for camera rotation, and open-source software which enables wireless communication. A data processing strategy, together with image processing techniques, is introduced and explained. A laboratory beam subjected to static loading serves to evaluate the performance of the RCS. The response of the beam is also monitored with contact sensors and calculated from images captured with a smartphone. The RCS provides accurate response measurements. Such camera systems could be employed for long-term bridge monitoring, in which strains are collected at strategic locations, and response time-histories are formed for further analysis. View Full-Text
Keywords: robotic camera; image processing; vision-based deformation monitoring; precision movement control; static measurement collection; non-contact sensor systems; photogrammetry robotic camera; image processing; vision-based deformation monitoring; precision movement control; static measurement collection; non-contact sensor systems; photogrammetry
Show Figures

Figure 1

MDPI and ACS Style

Kromanis, R.; Forbes, C. A Low-Cost Robotic Camera System for Accurate Collection of Structural Response. Inventions 2019, 4, 47.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop