SkyWatchers

https://drive.google.com/file/d/1hOZi8PBpv4PkoCOAfZOlb6T3Y6J9X5PJ/view?usp=sharing

https://drive.google.com/drive/folders/1psvt6VWpZsCUoZ7ytXPHp9RAV_lfVbyA?usp=sharing

Developing Societies have many Problems in Measuring Population Density for Urban Statistics or Managing & Organizing Communities,

also Managing Disasters & Emergencies. We propose to use new technologies such as Thermal Imaging by drone, with no limitation on the time where it can be used day or night! Then with a recent satellite image, we can plan the drone path with a realistic view of the current state, such as after disasters. Then, we will use deep learning techniques to detect a human from the thermal images. These processes will be integrated into one system where the output is a map with recent satellite images and locations of detected people. The usage of the system will be for Pollution, Wildlife, Security, Medical and Geological and the purpose is to Manage Forests, Human Settlements and Disaster Risk Reduction

We used satellite images from worldview Snapshots where it offers satellite imagery from NASA satellites. The images that we expected are to be Near real-time to have a realistic view of the current state of the land; then, we will draw the boundaries for the drone to detect people in areas we see as “difficult to accessed or very crowd.”

Data from Earth-observing satellites : 

1- https://worldview.earthdata.nasa.gov/ 

2- https://eos.com/landviewer/?lat=24.65388&lng=46.71524&z=11

The Skywatchers seek to build a healthy society and an environment that is protected from risks and disasters.

and by using drones and satellites we can make it real.

1. miro.com
2. Integrating drone‑borne thermal imaging with artificial intelligence to locate bird nests on agricultural land, Andrea Santangeli1, Yuxuan Chen, Edward Kluen, Raviteja Chirumamilla, Juha Tiainen & John Loehr.
3. ANAFI AI 

This project has been submitted for consideration during the Judging process.