Artificial recognition drone

Abstract

This document is a comprehensive guide to Unmanned Aerial Vehicles (UAVs), also known as drones. It covers various aspects of drones, including their functionalities, technologies, and applications. Chapter I: Drones provides a foundational understanding of drones. It explores their definition, historical background, classifications, essential components for a quadcopter, general architectures, and the advantages of using quadrotors. Chapter II: Facial Recognition delves into facial recognition technology employed on drones. It explains the concept of facial recognition, acquisition systems, feature extraction and matching techniques, decision making in the context of drone-based facial recognition, and the implementation of Python codes for facial recognition. Chapter III: Unveiling the NEO-M8N: A Powerful GPS Module focuses on the NEO-M8N, a GPS module commonly used in drones. It explores the core functionalities and features of the NEO-M8N, highlighting its advantages over other options. It also details the installation process of the NEO-M8N using an Arduino microcontroller. Chapter IV: PID Control dives into controlling a drone's flight using a PID (Proportional-Integral-Derivative) regulator on an Arduino platform. It explains the concepts of open-loop and closed-loop systems, then details the three components of a PID regulator. The chapter outlines how to implement a PID controller in Arduino code, including essential functionalities and considerations for operating a drone safely. The document concludes with a general conclusion that summarizes the key takeaways from the individual chapters.