Akademik Veri Yönetim Sistemi
Sevri M. (Yürütücü), Aydın B., Babaoğlu D. N., Özbilge Y. E.
Yükseköğretim Kurumları Destekli Proje, 2025 - 2025
This project aims to improve infrastructure maintenance and inspection processes with an autonomous drone and artificial intelligence supported system. Traditional methods are costly, time-consuming and prone to human error, necessitating innovative solutions in infrastructure management. The proposed system will continuously monitor critical infrastructures such as bridges, tunnels and dams to detect structural deterioration at an early stage and optimize maintenance processes. The drone is equipped with high-resolution optical cameras, thermal imaging and lidar sensors, and will analyze the data obtained through artificial intelligence algorithms. With cloud-based data management, maintenance priorities will be determined by making comparisons with historical data and predictable maintenance planning will be possible. Thanks to its autonomous flight capability, safe and precise data collection will be ensured without the need for human intervention.The main contributions of this system are to reduce labor costs, increase maintenance continuity and ensure safety in large-scale infrastructure projects. At the end of the project, the developed drone-based infrastructure inspection system will provide a faster, cost-effective and reliable alternative to traditional methods.