PTZ-Surveillance coverage based on artificial intelligence for smart cities. (December 2019)

• Record Type: Journal Article
• Authors: Eldrandaly, Khalid A.; Abdel-Basset, Mohamed; Abdel-Fatah, Laila
• Is Part Of: International journal of information management. Volume 49(2019)
• Page Start: 520
• Page End: 532
• Publication Date: 2019-12
• Subjects: Firefly algorithm -- Camera network -- Smart City -- New administrative Capital -- Green River; Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2019.04.017
• Languages: English
• ISSNs: 0268-4012

Abstract

Highlights: An improved soft computing algorithm proposed for optimizing the area coverage percentage of MWSN. The proposed algorithm is validated using the benchmark problems addressed in the literature. Results proved the effectiveness of the proposed algorithm. 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.