Cost/Benefit Analysis of AIoT Image Sensing for Construction Safety Monitoring
| Autor: | Rong-jing Wang, Wen-Der Yu, Hsien-Chou Liao, Hsien-Kuan Chang, Zi-Yi Lim |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Journal of Engineering, Project, and Production Management, Vol 14, Iss 3, Pp 1-13 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2221-6529 2223-8379 |
| DOI: | 10.32738/JEPPM-2024-0022 |
| Popis: | Rapid advances in deep learning and computer vision enable traditional cloud-based decision-making through edge computing with the Artificial Intelligent Internet of Things (AIoT) image sensors (AIoT-IS), thus improving the timeliness and security of image recognition. This study is indented to investigate the potential costs and benefits of AIoT-IS applications. This study summarizes AIoT-IS application scenarios for construction safety monitoring and proposes a cost/benefit analysis method for AIoT-IS implementation projects. According to the case study results, AIoT-IS achieves significant benefits, with a Net Present Value Index (NPVI) of 19.17% and a Benefit/Cost Ratio (BCR) of 4.65 as applied to construction site safety monitoring. Interviews with domain experts also provided qualitative feedback, pointing to the directions for future research. The proposed method is applicable for the decision-making of AIoT-IS adoption and the feasibility assessment of other innovative construction technologies. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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