Portable plaster smoothing machine / Muhammad Nur Helmi Mohd Mislim and Mohamad Hamdan Othman

Mohd Mislim, Muhammad Nur Helmi and Othman, Mohamad Hamdan (2023) Portable plaster smoothing machine / Muhammad Nur Helmi Mohd Mislim and Mohamad Hamdan Othman. In: UNSPECIFIED.

Abstract

The study highlights the importance of prioritising consistency and quality in precast concrete construction using surface defect detection. Precast concrete offers numerous advantages in construction projects, with standardised components produced in a centralised plant using factory prefabrication. The aim of this research is to use surface defect detection to monitor precast concrete in terms of the material’s quality and consistency. The objective of this study is to focus on surface defect detection to enhance the consistency and quality of precast concrete components. By implementing a monitoring system that utilises advanced technologies, such as computer vision and image processing, defects in precast concrete elements can be detected and addressed at an early stage. This proactive approach mitigates the risk of compromised structural integrity, delays, and increased costs.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mohd Mislim, Muhammad Nur Helmi
2020845232@student.uitm.edu.my
Othman, Mohamad Hamdan
mhamd019@ uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Editor
Mahayuddin, Siti Akhtar
UNSPECIFIED
Editor
Ishak, Noor Rizallinda
UNSPECIFIED
Editor
Hadzaman, Nor Asma Hafizah
UNSPECIFIED
Editor
Ismail, Sallehan
UNSPECIFIED
Designer
Mahyuddin, Muhammad Naim
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: BUILDCON 2023 Compilation of Project Innovation Ideas Semester March – August 2023
Page Range: p. 46
Keywords: portable plaster smoothing machine, precast concrete construction, computer vision and image processing
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/101667
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