CIB Conferences
Abstract
Modular Integrated Construction (MiC) represents an innovative approach in the construction industry, where building components are manufactured off-site and assembled on-site, offering enhanced quality control and reduced construction time. While computer vision technologies have advanced significantly in construction applications, the precise alignment of MiC modules during installation remains challenging, with traditional manual methods being time-consuming and error prone. This study develops an automated detection system using a modified YOLOv9 architecture to enhance the precision and efficiency of MiC module alignment. The research employed a three-stage methodology comprising literature analysis, data acquisition of 5,000 images, and model development implemented on a GeForce RTX 3050 GPU. The system achieved exceptional performance with a mean Average Precision (mAP50) score of 0.995 and real-time processing capabilities of 3.1 ms per frame at 640×640 resolution. These results demonstrate the system's potential for transforming MiC practices through improved installation precision and reduced human error, contributing significantly to the advancement of construction automation.
The paper will be presented:
In-person
Primary U.N. Sustainable Development Goals (SDG)
Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Secondary U.N. Sustainable Development Goals (SDG)
Sustainable Cities and Communities - - Make cities and human settlements inclusive, safe, resilient and sustainable
Primary CIB Task Group OR Working commission
W121 – Offsite Construction
Secondary CIB Task Group OR Working commission
W116 – Smart and Sustainable Built Environments
Recommended Citation
Abdulai, Sulemana Fatoama; Zayed, Tarek Professor; Yussif, Abdul-Mugis; Taiwo, Ridwan; Elrifaee, Mohamed Sherif AbdAllah EbnSallam; and Muddassir, Muhammad Dr.
(2025)
"Automated Detection for Alignment of Modular Integrated Construction Modules Using YOLOv9,"
CIB Conferences: Vol. 1
Article 37.
DOI: https://doi.org/10.7771/3067-4883.2115