Combining Unmanned Aerial Vehicles, and Internet Protocol Cameras to Reconstruct 3-D Disaster Scenes During Rescue Operations

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1 Citation (Scopus)

Abstract

Objective: Strong earthquakes often cause massive structural and nonstructural damage, timely assessment of the catastrophe related massive casualty incidents (MCIs) for deploying rescue resource are critical in order to minimize ongoing fatalities. A magnitude 6.6 earthquake struck southern Taiwan on February 6, 2016 (the so-called 02/06 Meinong earthquake). It led to 117 deaths and 522 injuries. Advanced technologies including aerial devices and innovation concept were adopted for more effective rescue efforts. We would like to share our innovative concept in MCIs experienced in 02/06 Meinong earthquake in 2016. Methods: A collapsed building, Weiguan residential apartment complex, was the most devastating building collapsed in Tainan, resulting in 115 people killed. Regional Emergency Medical Operational Centers (REMOCs), supervised by Taiwan Ministry of Health and Welfare, were activated immediately and collaborated with Tainan City government command center to initiate emergency rescue reliefs. Results: We, for the first time, attempted to use cyber devices including an internet-protocol camera and a multi-rotor unmanned aerial vehicle (UAV) equipped with a high-resolution digital camera used to acquire imagery during the rescue operation. Moreover, a photo-realistic 3-D model reconstructed by the acquired UAV imagery could provide real-time information from UAV to rescue team leaders in remote location for effectively deploying medical posts and emergency resources at scene. Conclusion: We proposed the concept of real-time UAV imagery for reconstructing photo-realistic 3-D model, which might greatly improve prehospital emergency management after disaster.

Original languageEnglish
Pages (from-to)479-484
Number of pages6
JournalPrehospital Emergency Care
Volume23
Issue number4
DOIs
Publication statusPublished - 2019 Jul 4

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Earthquakes
Disasters
Internet
Imagery (Psychotherapy)
Emergencies
Taiwan
Equipment and Supplies
Local Government
Technology
Health
Wounds and Injuries

All Science Journal Classification (ASJC) codes

  • Emergency Medicine
  • Emergency

Cite this

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title = "Combining Unmanned Aerial Vehicles, and Internet Protocol Cameras to Reconstruct 3-D Disaster Scenes During Rescue Operations",
abstract = "Objective: Strong earthquakes often cause massive structural and nonstructural damage, timely assessment of the catastrophe related massive casualty incidents (MCIs) for deploying rescue resource are critical in order to minimize ongoing fatalities. A magnitude 6.6 earthquake struck southern Taiwan on February 6, 2016 (the so-called 02/06 Meinong earthquake). It led to 117 deaths and 522 injuries. Advanced technologies including aerial devices and innovation concept were adopted for more effective rescue efforts. We would like to share our innovative concept in MCIs experienced in 02/06 Meinong earthquake in 2016. Methods: A collapsed building, Weiguan residential apartment complex, was the most devastating building collapsed in Tainan, resulting in 115 people killed. Regional Emergency Medical Operational Centers (REMOCs), supervised by Taiwan Ministry of Health and Welfare, were activated immediately and collaborated with Tainan City government command center to initiate emergency rescue reliefs. Results: We, for the first time, attempted to use cyber devices including an internet-protocol camera and a multi-rotor unmanned aerial vehicle (UAV) equipped with a high-resolution digital camera used to acquire imagery during the rescue operation. Moreover, a photo-realistic 3-D model reconstructed by the acquired UAV imagery could provide real-time information from UAV to rescue team leaders in remote location for effectively deploying medical posts and emergency resources at scene. Conclusion: We proposed the concept of real-time UAV imagery for reconstructing photo-realistic 3-D model, which might greatly improve prehospital emergency management after disaster.",
author = "Chia-Chang Chuang and Jiann-Yeou Rau and Meng-Kuan Lai and Shih, {Chung Liang}",
year = "2019",
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AU - Rau, Jiann-Yeou

AU - Lai, Meng-Kuan

AU - Shih, Chung Liang

PY - 2019/7/4

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N2 - Objective: Strong earthquakes often cause massive structural and nonstructural damage, timely assessment of the catastrophe related massive casualty incidents (MCIs) for deploying rescue resource are critical in order to minimize ongoing fatalities. A magnitude 6.6 earthquake struck southern Taiwan on February 6, 2016 (the so-called 02/06 Meinong earthquake). It led to 117 deaths and 522 injuries. Advanced technologies including aerial devices and innovation concept were adopted for more effective rescue efforts. We would like to share our innovative concept in MCIs experienced in 02/06 Meinong earthquake in 2016. Methods: A collapsed building, Weiguan residential apartment complex, was the most devastating building collapsed in Tainan, resulting in 115 people killed. Regional Emergency Medical Operational Centers (REMOCs), supervised by Taiwan Ministry of Health and Welfare, were activated immediately and collaborated with Tainan City government command center to initiate emergency rescue reliefs. Results: We, for the first time, attempted to use cyber devices including an internet-protocol camera and a multi-rotor unmanned aerial vehicle (UAV) equipped with a high-resolution digital camera used to acquire imagery during the rescue operation. Moreover, a photo-realistic 3-D model reconstructed by the acquired UAV imagery could provide real-time information from UAV to rescue team leaders in remote location for effectively deploying medical posts and emergency resources at scene. Conclusion: We proposed the concept of real-time UAV imagery for reconstructing photo-realistic 3-D model, which might greatly improve prehospital emergency management after disaster.

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