FANET Experiment: Real-Time Surveillance Applications Connected to Image
  Processing System
Bashir Olaniyi Sadiq Muhammed Yusuf Abiodun Sikiru Olayinka Zakariyya Mohammed Dahiru Buhari
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.