Local Chapter Ankara, Turkey Chapter
Coordinated byTurkey ,
Status: Ongoing
Project background.
Turkey is a country between Europe and Asia. It has a large population of 80 million, and many big cities. Last February, the country went through 2 catastrophic earthquakes on the same day (6th of february). During rescue work there were many problems such as detecting the most critical areas and reaching there. The rescue work thus took longer and many lives were put in danger.
The problem.
The reaction time to the latest earthquake was not sufficient, and the rescue teams had to reach many locations in a very short time. Due to the electric shortage in the area, communication was problematic for damage assessment. Thus, a fast-responding AI model is planned to be used to aid rescue operations planning. This model will detect earthquake damage according to the latest satellite images provided by online service providers. The damage search will include building damage, road damage, and terrain changes. Also, these changed areas on the map will mark the changes’ locations and classify these changes as building, road, or terrain. The model is planned to use mainly Turkey-Syria Earthquake data.
Project goals.
Project plan.
Week 1
Research about project (articles, models etc.)
Week 2
– Data Collection & Data Preprocessing
Week 3
– Data Collection & Data Preprocessing
Week 4
– Data Preprocessing & Augmentation
Week 5
– Data Preprocessing & Augmentation
Week 6
– Model training and Optimization
Week 7
– Model training and Optimization
Week 8
– Model Deployment
