Internal works quality assessment for wall evenness using vision-based sensor on a mecanum-wheeled mobile robot

Shukor, Ahmad Zaki and Jamaluddin, Muhammad Herman and Ramli, Mohd zulkifli and Omar, Ghazali and Abd Ghani, Syed Hazni (2022) Internal works quality assessment for wall evenness using vision-based sensor on a mecanum-wheeled mobile robot. (IJACSA) International Journal of Advanced Computer Science and Applications, 13 (6). pp. 172-179. ISSN 2158-107X

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Abstract

Robotics in the construction industry has been used for a few decades up to this present time. There are various advanced robotics mechanisms or technologies developed for specific construction task to assist construction. However, not many researches have been found on the quality assessment of the finished structures. This research proposes a quality assessment robot that will assist in performing the assessment of the internal works of a building by assessing a quality assessment criterion in the Malaysian Construction Industry Standards. There are various assessment criteria such as hollowness, cracks and damages, finishing and jointing. This paper will focus on the wall evenness using a camera mounted on a mobile robot with a Mecanum wheel design. The wall evenness assessment was done via projecting a laser leveler on the wall and capturing the images by using a camera, which is later processed by a central controller. Results show that the deviation calculation method can be used to differentiate between even and uneven walls. Pixel deviations for even walls show values of less than 15 while uneven walls show values of more than 20 pixels.

Item Type:	Article
Uncontrolled Keywords:	Construction industry standards, Internal works quality assessment, Vision, Mecanum wheels
Divisions:	Faculty of Electrical Engineering
Depositing User:	mr eiisaa ahyead
Date Deposited:	01 Feb 2023 16:06
Last Modified:	23 Feb 2023 11:35
URI:	http://eprints.utem.edu.my/id/eprint/26196
Statistic Details:	View Download Statistic

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