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Deep Neural Networks for Forest Fire Detection from UAV


Deep Neural Networks for Forest Fire Detection from UAV


Technology Summary


  • The technology is developed for disaster recognition and response by utilizing an UAV (Unmanned Aerial Vehicle) and an image analysis server.
    • Deep convolutional neural networks(CNNs) were selected as a fire detection method for the image analysis system.
    • The system is comprised of UAV control system, image analysis system, disaster forecasting system, Web-based visualization system, alert system, and disaster response scenario database.
    • The procedure including the image capturing, transferring and analyzing is performed in real time in order to provide immediate recognition result to a decision support system for disaster management.
  • The system can be extended to support other kinds of disasters like flood and earthquake.


Contact Info.: Su-Jin Youn, +82-42-860-5092, sjy@etri.re.kr

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