Recent advancements and challenges of AIoT application in smart agriculture: A review

HK Adli, MA Remli, KNS Wan Salihin Wong, NA Ismail… - Sensors, 2023 - mdpi.com
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …

State-of-the-art violence detection techniques in video surveillance security systems: a systematic review

B Omarov, S Narynov, Z Zhumanov, A Gumar… - PeerJ Computer …, 2022 - peerj.com
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …

A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Hawk-eye: An ai-powered threat detector for intelligent surveillance cameras

AA Ahmed, M Echi - IEEE Access, 2021 - ieeexplore.ieee.org
With recent advances in both AI and IoT capabilities, it is possible than ever to implement
surveillance systems that can automatically identify people who might represent a potential …

[HTML][HTML] Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study

MA Butt, A Qayyum, H Ali, A Al-Fuqaha, J Qadir - Computers & Security, 2023 - Elsevier
The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of
human beings from scheduling daily activities to personalized shopping recommendations …

Smart visual sensing for overcrowding in COVID-19 infected cities using modified deep transfer learning

K Rezaee, HG Zadeh, C Chakraborty… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Currently, COVID-19 is circulating in crowded places as an infectious disease. COVID-19
can be prevented from spreading rapidly in crowded areas by implementing multiple …

Recent advances in video analytics for rail network surveillance for security, trespass and suicide prevention—A survey

T Zhang, W Aftab, L Mihaylova, C Langran-Wheeler… - Sensors, 2022 - mdpi.com
Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …

Smart surveillance system for real-time multi-person multi-camera tracking at the edge

B Gaikwad, A Karmakar - Journal of real-time image processing, 2021 - Springer
In this work, we have presented an end-to-end multi-person multi-camera tracking (MPMCT)
surveillance system and implemented it on edge analytics platform for real-time …

Video violence recognition and localization using a semi-supervised hard attention model

H Mohammadi, E Nazerfard - Expert Systems with Applications, 2023 - Elsevier
The significant growth of surveillance camera networks necessitates scalable AI solutions to
efficiently analyze the large amount of video data produced by these networks. As a typical …

Shedding light on blind spots–developing a reference architecture to leverage video data for process mining

W Kratsch, F König, M Röglinger - Decision support systems, 2022 - Elsevier
Process mining is one of the most active research streams in business process
management. In recent years, numerous methods have been proposed for analyzing …