Implementation of Victims Detection Framework on Post Disaster Scenario
| Autor: | Edi Sutoyo, Edi Satriyanto, Tegar Imansyah, Muhammad Muhajir, Anhar Risnumawan, Achmad Basuki, Indra Adji Sulistijono, Muhamad Khoirul Anwar |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
Detector Real-time computing Process (computing) Satellite system 030229 sport sciences 02 engineering and technology Variation (game tree) Convolutional neural network 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Transmission protocol Post disaster |
| Zdroj: | 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA). |
| DOI: | 10.1109/elecsym.2018.8615503 |
| Popis: | Disasters are prone to occur in Indonesia due to geographical factors, such as tectonic plate movements, which can cause an earthquake. Earthquakes are one of the most frequent disasters, they have broad impacts in a short time and are unpredictable. Thus, an extensive search process in a short time is highly critical to determine the victims location. In this paper, a victims detection framework is developed starting from acquiring images using an unmanned aerial vehicle and further processing using convolutional neural network (CNN) to locate victims robustly on post-disaster. Input images are then sent to victim detector dedicated ground station server for further high processing robustly locating the possibility of victims. A simulation system mimicking a real environment is developed to test our framework in real time. A transmission protocol is also developed for effectively transmitting data between the robot and the server. The treatment on the detection process of the victim is different from the normal human detection, some pre-processing stages are applied to increase the variation of the given dataset. An embedded system is used for taking images and additional sensors data, such as location and time using Global Navigation Satellite System. |
| Databáze: | OpenAIRE |
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