Intelligent fog computing surveillance system for crime and vulnerability identification and tracing

R Rawat, RK Chakrawarti, P Vyas… - International Journal of …, 2023 - igi-global.com
IoT devices generate enormous amounts of data, which deep learning algorithms can learn
from more effectively than shallow learning algorithms. The approach for threat detection …

Understanding policy and technical aspects of ai-enabled smart video surveillance to address public safety

BR Ardabili, AD Pazho, GA Noghre, C Neff… - Computational Urban …, 2023 - Springer
Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …

Insights on the internet of things: past, present, and future directions

T Sutikno, D Thalmann - … Computing Electronics and Control), 2022 - telkomnika.uad.ac.id
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …

A Review on Software‐Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends …

S Shafiq, MS Rahman, SA Shaon… - … of Distributed Sensor …, 2024 - Wiley Online Library
Internet of things (IoT) and software‐defined networking (SDN) are two relatively recent
developments in the field of communication technology that have emerged in response to …

Design and development of a fog-assisted elephant corridor over a railway track

MK Mondal, R Mandal, S Banerjee, U Biswas, JCW Lin… - Sustainability, 2023 - mdpi.com
Elephants are one of the largest animals on earth and are found in forests, grasslands and
savannahs in the tropical and subtropical regions of Asia and Africa. A country like India …

A novel deep-learning model for remote driver monitoring in SDN-based internet of autonomous vehicles using 5G technologies

SN Saleh, C Fathy - Applied Sciences, 2023 - mdpi.com
The rapid advancement in the Internet of Things (IoT) and its integration with Artificial
Intelligence (AI) techniques are expected to play a crucial role in future Intelligent …

Weapon detection in surveillance videos using Yolov8 and Pelsf-DCNN

R Dugyala, MVV Reddy, CT Reddy… - E3S Web of …, 2023 - e3s-conferences.org
Weapon detection (WD) provides early detection of potentially violent situations. Despite
deep learning (DL) algorithms and sophisticated closed-circuit television (CCTVs), detecting …

Understanding ethics, privacy, and regulations in smart video surveillance for public safety

BR Ardabili, AD Pazho, GA Noghre, C Neff… - arXiv preprint arXiv …, 2022 - arxiv.org
Recently, Smart Video Surveillance (SVS) systems have been receiving more attention
among scholars and developers as a substitute for the current passive surveillance systems …

Real-time institution video data analysis using fog computing and adaptive background subtraction

RS Amshavalli, J Kalaivani - Journal of Real-Time Image Processing, 2023 - Springer
The increasing demand for video surveillance systems has led to a surge in research
towards developing smart video surveillance systems that can combat the growing levels of …

[HTML][HTML] DRL-based routing algorithm with guaranteed loss, latency and bandwidth in SDN networks: Application of online video conferencing

J Zhang, RO Yahya - Journal of King Saud University-Computer and …, 2023 - Elsevier
Technology development in traffic engineering has led to the re-architecting of Online Video
Conferencing Services (OVCS) through Software-Defined Networking (SDN) to provide …