WHITE - DONKEY: Unmanned Aerial Vehicle for searching missing people

Abstract

Abstract-Searching for a missing person is not an easy task to accomplish,so over the years search methods have been developed, the problem is that the methods currently available have certain limitations and these limitations are reflected in time location. Time location in a person search is a very important factor that rescuers cannot afford to waste because the missing person is exposed to great dangers. In people search the vision system of the human being plays a very important role. The human visual system has the ability to detect and identify objects such as trees, walls, people among others besides to estimate the distance to them, this gives the human being the possibility of moving in their environment. With the development of artificial intelligence primarily to computer vision it is possible to model the human visual perception and generate computer software needed to simulate these capabilities. Using computer vision is expected to search for any missing person designing and implementing algorithms in order to an Unmanned Aerial Vehicle perform this task, also thanks to the speed of this is expected to reduce the time location. By using of a Unmanned Aerial Vehicle is not intended to replace the human being in the difficult task of searching and rescuing people but rather is intended to serve as a support tool in performing this difficult task.

Suhail: A Deep Learning-Based System for Identifying Missing People

“…Using UAVs, Inata et al (Inata et al, 2016) propose a system for detecting missing people that is capable of moving quickly and having a wide field of view during disasters. In spite of this, aeroplane-type UAVs cannot always be stable due to weather conditions, rolling, and pitching (Moreno et al, 2016). Alagarsamy et al introduced a deep learning model to find missing people (Alagarsamy et al, 2022).…”