The problem Disaster Assessment System for Drones solves

Damage assessment is essential for evacuation and restoration plans in a natural disaster. Decisiveness and precision are required to perform tasks at their maximum efficiency. The analysis plays a vital role in the evacuation of survivors. The information further helps conserve significant buildings and resources that can be retrieved from the destroyed site. Natural disasters cause significant damage to transportation and
communication networks, making it difficult for assessment teams to reach affected areas. Furthermore, gathering accurate and reliable data during a disaster can be challenging, especially in areas where data-collecting bodies have also been
damaged. In case of a disaster, different organizations and countries may use other methods for disaster assessment, making it difficult to compare results and coordinate
a response. These restraints provide an opportunity to present and build a more efficient system for disaster assessment.
We have built a disaster assessment system for drones that lets the relief team control the drone and capture images. These images are encrypted and saved on a microcontroller attached to the drone. The encrypted images will be decrypted when the microcontroller comes back to the base station where super resolution will be applied on the decrypted images for image quality enhancement. Finally, a disaster assessment report will be generated for the images to indicate the extent of the damage to the structures.

Challenges we ran into

We had some issues creating the disaster assessment report model, but we finally overcame this problem and successfully built a model for this. Controlling the hardware and super-resolution was difficult as well but we were able to resolve these issues.