CAN IMAGE PROCESSING BE USED AS AI/ML METHOD IN INTEGRATED DISASTER MANAGEMENT?

Year 2022, , 116 - 131, 30.03.2022

Çiğdem Tarhan , Ahmet Selçuk Özgür , İlknur Teke , Murat Komesli

https://doi.org/10.54452/jrb.1025382

Cited By: 1

Abstract

In Turkey, cities with a high building density and population have risks dur-ing earthquakes and other natural disasters. It is a difficult process to quickly determine the location of damaged houses after an emergency (earthquake, etc.) and to determine the regional density. At the same time, there are prob-lems in the process of directing resources to disaster areas according to the existing damage situations of public and non-governmental organizations. The scope of the study is to perform artificial intelligence-based damage as-sessment in a fast and effective manner with the application in the proposed system. Thus, damaged structures will be recorded in the database with loca-tion information and support will be given to all processes that will take place after the disaster.

Keywords

Disaster Management, Artificial Intelligence, Image Processing, Mobile App.

GÖRÜNTÜ İŞLEME ENTEGRE AFET YÖNETİMİNDE YAPAY ZEKA YÖNTEMİ OLARAK KULLANILABİLİR Mİ?

Abstract

Türkiye'de yapı yoğunluğu ve nüfusu yüksek olan şehirler deprem ve diğer doğal afetler sırasında risk taşımaktadır. Acil bir durum (deprem vb.) son-rasında hasar gören evlerin yerini hızlı bir şekilde belirlemek ve bölgesel yoğunluğunu belirlemek zor bir süreçtir. Aynı zamanda kamu ve sivil toplum kuruluşlarının mevcut hasar durumlarına göre kaynakların, afet bölgelerine yönlendirilmesi sürecinde sorunlar yaşanmaktadır. Çalışmanın kapsamı, önerilen sistemdeki uygulama ile yapay zeka tabanlı hasar tespitini hızlı ve etkin bir şekilde gerçekleştirmektir. Böylece hasarlı yapılar konum bilgisi ile veri tabanına kaydedilecek ve afet sonrası gerçekleşecek tüm süreçlere destek verilecektir.

Keywords

Afet Yönetimi, Yapay Zeka, Görüntü İşleme, Mobil Uygulama.

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