Development of path planning, obstacle avoidance and face recognition systems for an unmanned aircraft

This article discusses algorithms developed for unmanned aerial vehicle, such as path planning systems, obstacle avoidance and face recognition. These algorithms allow the unmanned aerial vehicle to be used for civilian applications for tasks such as aerial photography, goods delivery, human rescue, infrastructure inspection and 3D mapping. The algorithms used in the unmanned aerial vehicle were developed using a Raspberry Pi microcomputer, BalenaEtcher image recording application and Python programming language.