Concept

Disaster control using satellite data and autonomous drones

Dragonfly uses nature inspired computing to process satellite data and determine an early warning of developing situations before they become disasters. By modelling the swarming patterns of insects with artificially intelligent processing, natural and man-made situations can be identified and treated quickly and efficiently. Response to emerging disaster is treated autonomously by dispatch of highly targeted drone vehicles which can treat a disaster zone accurately and efficiently.

Dragonfly uses existing sensor hardware and software applications in DJI drones as the technological foundation. NASA satellite data is then used to improve accuracy and speed at which droned get deployed. An additional benefit of the algorithm is the continuous feedback it provides to researchers, communities and governments.

Although fighting malaria is Dragonfly's primary concern, our software can be adapted to track, manage and prevent a multitude of disasters that include tropical disease management, tracking of illegal forestation, illegal fishing, identification and management of wild fires and supplying aid to victims of earthquakes.

Data is sent to a central computer which uses AI algorithms to parse the data and identify conditions optimal for disaster.Once hotspots of activity have been identified by the system automated drone swarms are dispatched to the problem area. Using small and highly targeted drones allows for very precise treatment of problem areas.

The drones themselves carry environmental monitoring sensors, the data from which is fed back into the central system for immediate inclusion into the hotspot algorithm

This project solves NASA Space Apps Challenge 2017 - Warning! Danger Ahead!

Dragonfly Drones Ltd