PTZ-Surveillance coverage based on artificial intelligence for smart cities |
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| Institution: | 1. Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt;2. Department of Decision Support, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt;1. Department of Computer Languages and Computer Science, University of Málaga, Málaga, Spain;2. Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain;3. Department of Computer Architecture and Technology, University of Málaga, Málaga, Spain;4. Department of Computing and Numerical Analysis, University of Córdoba, Córdoba, Spain;1. Faculty of Information Technology, University of Jyväskylä, Finland;2. Institute of Information Systems and Marketing, Karlsruhe Institute of Technology, Germany;3. Gamification Group, Faculty of Information Technology and Communication Sciences, Tampere University, Finland;4. Gamification Group, Faculty of Humanities, University of Turku, Finland;1. Department of Economy and Business Organization, Universitat Internacional de Catalunya, Barcelona, Spain;2. Department of Business Administration and Product Design, Universitat de Girona, Spain;3. Universidad Autónoma de Madrid, Facultad de Ciencias Económicas y Empresariales, Spain;1. Operations & Information Systems Department, Manning School of Business (MSB), PTB Center, 74 University Avenue, Lowell, MA 01854, USA;2. King Fahd University of Petroleum & Minerals, KFUPM Business School, Dhahran 31261, Saudi Arabia;3. Department of Management Information Systems, College of Business and Management, University of Illinois Springfield, One University Plaza, UHB 4030, Springfield, IL 62703, USA;1. Research Institute for Shenzhen, University of International Business and Economics, China;2. Anderson School of Management, University of New Mexico, USA;3. McLane College of Business, University of Mary Hardin-Baylor, USA |
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| Abstract: | Surveillance cameras have a plethora of usages in newly born cities including smart traffic, healthcare, monitoring, and meeting security needs. One of the most famous new cites is the Egypt's new administration capital “New Cairo”. The new administration capital of Egypt mainly characterizes with the green life style via the "Green River ". In this paper, a new enhanced Artificial Intelligence (AI) algorithm is introduced for adjusting the orientation of Pan–Tilt–Zoom (PTZ) surveillance cameras in new Cairo. In other words, the new proposed algorithm is used for improving the field of view (FOV) coverage of PTZ cameras network. For validating the proposed algorithm, it is tested on many scenarios with different criterions. After that, the proposed algorithm is applied to adjust the PTZ monitoring cameras in the green river which locates on new administrative capital as an equivalent to the river Nile. In addition, it compared with several other AI algorithms through the appropriate statistical analysis. The overall experimental results indicate the prosperity of the proposed algorithm for increasing the coverage of the PTZ surveillance system. |
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| Keywords: | Firefly algorithm Camera network Smart City New administrative Capital Green River |
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