A Decentralised Disaster Detection Approach Using Image Data
| Autor: | Arif-ur Rahman, Moneeb Gohar, Sandeep Pirbhulal, Muhammad Muzammal, Romana Talat |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Flood myth
Property (programming) Process (engineering) Computer science Real-time computing 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Natural disaster Set (psychology) Dissemination Water level |
| Zdroj: | VTC Spring |
| DOI: | 10.1109/vtcspring.2019.8746674 |
| Popis: | Flood disaster mostly happens due to instant heavy rain fall or sudden increase in water level in rivers. Such natural disaster may results in excessive loss of human life and property. However, it is very important to aware the residential areas before and during the disaster by disseminating information. With the rapid development of devices embedded with internetof- things (IoT), this may bring a lot of benefits to propagate the information among people. In this work, we proposed a decentralized disaster detection approach using image data. The proposed framework consist of set of sensor devices capable of capturing the images. Each device is able to process the image and generate warning alarm based on its decision. For detection of flood, we applied thresholding-based segmentation and morphological operations. We performed extensive experiments to validate our proposed approach. For analysis purpose, we considered images taken from different distance and our proposed approach provides promising results. |
| Databáze: | OpenAIRE |
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