Madugu, Abdullahi Abdulrasheed and Fikri, Mohamed Sarajul and Shuaib, Abdulrahman Rilwan and Abdullahi, Maikano Ahmed (2023) Towards a conceptual framework for application of computer vision in construction cost control. In: International Graduate Conference of Built Environment and Surveying 2023, GBES 2023, 17 September 2023 - 18 September 2023, Hybrid, Johor Bahru, Johor, Malaysia.
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Official URL: http://dx.doi.org/10.1088/1755-1315/1274/1/012027
Abstract
Construction projects have long been plagued by cost overruns, which can significantly impact project outcomes and stakeholder satisfaction. Recent advances in innovative technologies, including computer vision, have shown promise in improving construction project performance. Specifically, computer vision has been recommended as a powerful tool for enhancing cost management processes. Despite its potential, the application of computer vision in cost control for construction projects remains largely unexplored. This paper presents a conceptual framework for effectively leveraging computer vision to improve construction cost control. To achieve this objective, the paper will first review relevant literature on the application of computer vision in construction and construction cost control. The review will examine the existing research, identify knowledge gaps, and provide insights into the potential benefits of using computer vision in cost control. Next, the paper will propose a conceptual framework for integrating computer vision into the construction cost control process. The framework will be based on a thorough analysis of the various aspects of construction cost control and the potential applications of computer vision in each area.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | cost control, application of computer vision, conceptual framework |
Subjects: | T Technology > TH Building construction > TH434-437 Quantity surveying |
Divisions: | Built Environment |
ID Code: | 107721 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 29 Sep 2024 06:23 |
Last Modified: | 29 Sep 2024 06:23 |
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