Evaluation of wall evenness using depth sensor for building quality assessment

Shukor, Ahmad Zaki and Zailani, Muhammad Afiq and Jamaluddin, Muhammad Herman and Ramli, Mohd Zulkifli and Omar, Ghazali and Abd Ghani, Syed Hazni (2025) Evaluation of wall evenness using depth sensor for building quality assessment. Jurnal Teknologi, 88 (1). pp. 65-74. ISSN 2180-3722

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Abstract

The advancement of computing technology has spearheaded the change in the industry nowadays. Due to high speed processors which improves processes in industries, the construction industry has also adopted the Industry 4.0 via the Construction 4.0 Strategic Plan. Not only robots and its advanced technology impacted the assembly process in construction, it has also encouraged technologies to be applied in the quality assessment process, i.e. after a building has completed construction. The quality assessment robot is proposed in this paper, to address the wall evenness assessment as one of the criteria in the Internal Works from the Construction Industry Standards 7 (CIS7). It uses an Intel Realsense L515 LIDAR depth camera fitted onto a mobile robot, which houses a MiniPC, mobile robot controller and four 60mm mecanum wheels. The results of the assessment shows a promising 92.3% accuracy, which shows the viability of the proposed assessment method that could measure a 60cm x 50cm wall depth image from a 70cm center distance from the depth camera.

Item Type:	Article
Uncontrolled Keywords:	Building construction works, Depth camera, Internal works, Mecanum wheels, Quality assessment system
Divisions:	Faculty Of Electrical Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	20 Jul 2026 07:08
Last Modified:	20 Jul 2026 07:08
URI:	http://eprints.utem.edu.my/id/eprint/30018
Statistic Details:	View Download Statistic

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