FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System

TL;DR

This paper presents a system that uses image enhancement and processing techniques to improve real-time surveillance capabilities of FANETs in applications like oil pipeline monitoring and media coverage.

Contribution

It introduces a conceptual system design integrating image processing with FANETs to enhance data extraction and operational efficiency in surveillance tasks.

Findings

Proof of concept demonstrates effective data enhancement

System architecture based on current technologies

Potential applications in oil pipeline and media coverage

Abstract

The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the ultimate goal of providing efficient services to those who are interested. The system architecture model is based on current scientific principles and developing technologies. A FANET, which is capable of gathering image data from video-enabled drones, and an image processing system that permits data collection and analysis are the two primary components of the system. Based on the image processing technique, a proof of concept for efficient data extraction and enhancement in FANET situations and possible services is illustrated.