Automatic UAV Roof Inspection System with Deep Learning Algorithm Fusing HD Images and IR Images

I&T Solution Automatic UAV Roof Inspection System with Deep Learning Algorithm Fusing HD Images and IR Images
(REF: S-1296)
Trial Project
Solution Feature
  • The high maneuverability of the UAV and the flexibility of its mounted gimbal allows it to observe various angles of the roof
  • We use infrared images to fuse high-definition images to further increase the accuracy of roof detection and the robustness of deep learning systems
  • We use a variety of models of drones to adapt to different building environments
Trial Application and Expected Outcome
  • Through the developed deep learning algorithm, large-area roof inspection can be completed in a short time
  • Identify potential roof problems by combining high-definition and infrared images
  • Outputs marked infrared and high-definition roof images showing where roof repairs are needed
Additional Solution Information Workflow of the proposed method.pdf
Info on I&T Solution Provider
Solution Provider:Professor Jack Cheng, Hong Kong University of Science and Technology
Address:Clear Water Bay, Hong Kong University of Science and Technology
Contact Person:LIANG Zhaolun
Position:PhD student
Tel:53152022
Email: zliangaq@connect.ust.hk

For details of the above I&T solution, please contact the I&T solution provider.