Ai-based Damage Detection Of Buiding Using Drone Imagery

• Author(s):

  Ajay Patil | Raj Patil | Supesh Kale | Rohan Wankhade | Vshal Daga | Akshay Ladvanjari | Prof. R. R. Sarode

• Keywords:

  Artificial Intelligence, Drone Imagery, Damage Detection, SDG

• Abstract:

  Unmanned Aerial Vehicles (UAVs), Commonly Known As Drones, Equipped With High Resolution Cameras Generate Vast Amounts Of Structural Imagery Useful For Assessing Building Damage After Earthquakes, Storms, Or Explosions. This Paper Presents A Comprehensive Framework For Automated Damage Detection Using Deep Learning Models Trained On Drone Imagery. We Combine Computer Vision Pipelines With Convolutional Neural Networks (CNNs) For Accurate Pixel Level And Object Level Damage Classification. Experimental Results On Benchmark Datasets Show High Accuracy, Demonstrating The Effectiveness Of AI Based Methods For Rapid Post Disaster Building Evaluation.

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Other Details

• Paper id:

  IJSARTV12I4104949

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-09

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