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

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