A Hybrid Computational Intelligence Algorithm to Transform Traditional IPC Into a Smart Camera

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Author(s): Amudha L. (K. Ramakrishnan College of Engineering, India)and Pushpalakshmi R. (PSNA College of Engineering and Technology, India)
Copyright: 2021
Pages: 17
Source title: Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN
Source Author(s)/Editor(s): Mohammad Nabil Almunawar (Universiti Brunei Darussalam, Brunei), Muhammad Anshari (Universiti Brunei Darussalam, Brunei)and Syamimi Ariff Lim (Universiti Brunei Darussalam, Brunei)
DOI: 10.4018/978-1-7998-4984-1.ch035

Keywords: Business & Management / Business Science Reference / E-Business / E-Commerce

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Abstract

To meet the real-time requirements of major industry players and society, today, far and wide, there are video surveillance systems. With the recent development in technology and reduction in hardware costs, the number of cameras installed per kilometer is now increasing. The major challenge with video analytics is storage and response time. This chapter discusses transforming an IP camera into an Intelligent Camera by proposing a hybrid method of computational intelligence techniques like fuzzy, genetic, swarm optimization, reinforcement learning, ensemble methods, and deep belief networks to perform analysis at the place of data generation itself. With the acquired intelligence, a hybrid algorithm for anomaly detection and scene identification using fuzzy logic and deep learning can be designed. Deep learning models promise quick response time and better accuracy levels on image identification.

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A Hybrid Computational Intelligence Algorithm to Transform Traditional IPC Into a Smart Camera

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