Integration of Artificial Intelligence Algorithms in Construction Project Management

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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.

About the authors

Stanislav E. Makievskiy

MIREA – Russian Technological University

Author for correspondence.
Email: makievskij@mirea.ru

senior lecturer, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming

Russian Federation, Moscow

Alexander V. Yudin

MIREA – Russian Technological University

Email: yudin_a@mirea.ru
ORCID iD: 0000-0002-6802-8603
Scopus Author ID: 56018042000

Dr. Sci. (Econ.), Cand. Sci. (Phys.-Math.); Head, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming

Russian Federation, Moscow

Polina Yu. Grosheva

MIREA – Russian Technological University

Email: grosheva@mirea.ru
ORCID iD: 0000-0001-7546-6903
Scopus Author ID: 57204213905

Cand. Sci. (Econ.); associate professor, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming

Russian Federation, Moscow

Mikhail S. Yakovlev

MIREA – Russian Technological University

Email: yakovlev_m@mirea.ru

senior lecturer, Department of Enterprise Programming, Institute of Advanced Technologies and Industrial Programming

Russian Federation, Moscow

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