PTZ-Surveillance coverage based on artificial intelligence for smart cities

Khalid A. Eldrandaly, Mohamed Abdel-Basset, Laila Abdel-Fatah

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)520-532
Number of pages13
JournalInternational Journal of Information Management
Volume49
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'PTZ-Surveillance coverage based on artificial intelligence for smart cities'. Together they form a unique fingerprint.

Cite this