Integration of Artificial Intelligence Algorithms in Construction Project Management
( Pp. 37-46)

More about authors
Makievskiy Stanislav E. senior lecturer, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming, .
MIREA – Russian Technological University
Moscow, Russian Federation Yudin Alexander V. Dr. Sci. (Econ.), Cand. Sci. (Phys.-Math.); Head, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming; MIREA – Russian Technological University; Moscow, Russian Federation Grosheva Polina Yu. Cand. Sci. (Econ.); associate professor, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming; MIREA – Russian Technological University; Moscow, Russian Federation Yakovlev Mikhail S. senior lecturer, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming; MIREA – Russian Technological University; Moscow, Russian Federation.
Abstract:
The article examines the application of artificial intelligence algorithms, specifically YOLO v8, for image analysis in the construction industry. The focus is on tasks such as automatic object detection, including window openings and building floors, using data from remote sensing technologies. The stages of technology implementation are described: data collection and processing, visualization, and its use in construction project management. The authors highlight the efficiency of the proposed solution, its high accuracy, and scalability potential. Limitations related to model tuning and the need for adaptation of regulatory standards are also discussed. The project is aimed at optimizing and digitizing construction processes.
How to Cite:
Makievskiy S.E., Yudin A.V., Grosheva P.Yu., Yakovlev M.S. Integration of Artificial Intelligence Algorithms in Construction Project Management. Computational Nanotechnology. 2024. Vol. 11. No. 5. Pp. 37–46. (In Rus.). DOI: 10.33693/2313-223X-2024-11-5-37-46. EDN: CMQDDI
Reference list:
Hou L., Li H., Lu M. et al. Application of photogrammetry of unmanned aerial vehicles for quality control in construction projects. Journal of Civil Engineering and Management. 2021. No. 25 (8). Pp. 779–791.
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Keywords:
YOLO v8, artificial intelligence, YOLO v8, construction, object detection, remote sensing, automation, computer vision, process optimization, construction monitoring, digitization.


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