Design and construction of a prototype of an unmanned aerial vehicle equipped with artificial vision for the search of people

Abstract

This paper describes the development and implementation of a six-pointed Unmanned Aerial Vehicle [UAV] prototype, designed for finding lost people in hard to access areas, using Arduino MultiWii platform. A platform capable of performing a stable flight to identify people through an on-board camera and an image processing algorithm was developed. Although the use of UAV represents a low cost and quick response –in terms of displacement– solution, capable to prevent or reduce the number of deaths of lost people in away places, also represents a technological challenge, since the recognition of objects from an aerial view is difficult, due to the distance of the UAV to the objective, the UAV’s position and its constant movement. The solution proposed implements an aerial device that performs the image capture, wireless transmission and image processing while it is in a controlled and stable flight.

Design and Construction of a Drone With GPS Tracking, Collision Avoidance, Surveillance via Airborne Camera and Object Tracking

“…More specifically, the algorithm converts the incoming frames from RGB to HSV color space, so that the user can easily choose the desired color and then it creates the contours corresponding to the user's choice. Afterwards in the tracking section, we set two centers, the first one is the center of the targeted object and the second is the center of the incoming image and the algorithm via the correlation of the two centers, sends the corresponding commands to the ESP-32 so that the two centers can meet (Rojas et al, 2017;(Hernandez-Martinez et al, 2015).…”