Akimov Dmitry A. (PhD, Associate Professor of the Department of Automatic Systems, MIREA – Russian Technological University)
Arbuzov Vladimir N. (PhD, Associate Professor of the Department of Automatic Systems, MIREA – Russian Technological University)
Sardaryan Georgiy S. (undergraduate, MIREA – Russian Technological University )
Guryanova Ekaterina O. (Senior Lecturer, Department of Automatic Systems, MIREA – Russian Technological University)
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The developed software package is designed to process a stream of video data from a robotic drone and detect defects in building structures. Methods of cluster analysis, deep neural networks, mathematical description of the construction of photogrammetric models were used in the development. As a result of using the software, a three-dimensional model of the construction object under study was obtained and a quantitative assessment of critical defects of reinforced concrete and steel structures on the suitability of the building for further operation was made. According to experimental data, the residual resource of the building to an emergency state, which is equal to 2 years, is determined.
Keywords:photogrammetry, UAVs, neural networks, critical defects, dynamics, robotics, metric estimation, three-dimensional model, video analytics
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Citation link: Akimov D. A., Arbuzov V. N., Sardaryan G. S., Guryanova E. O. DEVELOPMENT OF SOFTWARE FOR THE SYNTHESIS OF MULTI-ANGLE IMAGES FOR THE INSPECTION OF BUILDING STRUCTURES FOR THE PRESENCE OF CRITICAL DEFECTS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№02/2. -С. 54-60 DOI 10.37882/2223–2966.2023.02–2.01 |
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