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All Pervasive Surveillance Techniques and AI-Based Applications: Current Trends and Challenges
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Author(s): Jutika Borah (Gauhati University, India), Kandarpa Kumar Sarma (Gauhati University, India)and Pulak Jyoti Gohain (Gauhati University, India)
Copyright: 2019
Pages: 29
Source title:
Smart Devices, Applications, and Protocols for the IoT
Source Author(s)/Editor(s): Joel J. P. C. Rodrigues (National Institute of Telecommunications (Inatel), Brazil & Instituto de Telecomunicações, Portugal & Federal University of Piauí (UFPI), Brazil), Amjad Gawanmeh (Khalifa University, UAE), Kashif Saleem (King Saud University, Saudi Arabia)and Sazia Parvin (Melbourne Polytechnic, Australia)
DOI: 10.4018/978-1-5225-7811-6.ch004
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Abstract
Surveillance is the process of close observation of a person, place, or object to avoid and minimize the risk of any undesired dangerous situations or suspicious activities to maintain normalcy. However, manual surveillance techniques have certain constraints including unavailability of trained manpower and erroneous observation triggering tricky situations. The proliferation of the use of information and communication technologies (ICT) have increased the levels automation and have made it a part of surveillance application. The aspects of automation have greatly reduced human intervention and have made systems more reliable and efficient. The new advancements in internet of things (IoT) and artificial intelligence (AI) have made automation in surveillance security even more convenient and efficient. It has been found that the application of IoT and AI-based learning mechanism have made significant performance improvement for automated surveillance purpose. Here, the authors discuss some of the recent trends and challenges faced by all pervasive surveillance systems.
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