Sadiq, B.; Abiodun, M.; Zakariyya, S. FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System. Preprints2022, 2022080072. https://doi.org/10.20944/preprints202208.0072.v1
APA Style
Sadiq, B., Abiodun, M., & Zakariyya, S. (2022). FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System. Preprints. https://doi.org/10.20944/preprints202208.0072.v1
Chicago/Turabian Style
Sadiq, B., Muhammed Abiodun and Sikiru Zakariyya. 2022 "FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System" Preprints. https://doi.org/10.20944/preprints202208.0072.v1
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
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
