We live in a world where natural disasters keep increasing frequently and severely. Sri Lanka being an island, flood is considered as the most frequently affected natural hazard in Sri Lanka. When such situations arise, normally boats and helicopters are used to provide necessary goods to affected people. Less efficiency, inaccessibility to some areas, need of more human effort and uncertainty of the delivery are the major issues of these two methods. “CarryMe” is the drone delivery system which can be used to provide better disaster recovery by resolving these issues. Collision avoidance algorithm, obstacle detection algorithm, video streaming and autopilot are the main functionalities of this implemented system. A flooded area can be identified using a map through the web application of CarryMe. Travelling Salesman Problem algorithm was used to find the optimal path. The web application facilitates the user to handle several drones at the same time as well which is a special feature of this drone system. Special programming techniques like Arduino, Node.js and micro service architecture will be used in programming and sensors like ultrasonic is used to detect the distance to the obstacle. Deliveries that can be done efficiently in any inaccessible area without any trouble with low cost and low human effort can be listed as the benefits of CarryMe as well as the drone controlling interface which user- friendly and it can serve several people using several drones at the same time.

Arduino GPS ultrasonic sensors GSM module Node.js Video streaming