Outdoor Surveillance Camera Coverage For Process Plant

This project focuses on the placement of surveillance camera of process plant, following the standards set in accordance to PETRONAS Technical Standard (PTS), PTS 32.71.00.10-2.3, where it has been highlighted that all process plants are compulsory to have proper surveillance system with proper plac...

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Bibliographic Details
Main Author: Ramlan, Farah Asyikin
Format: Final Year Project
Language:English
Published: IRC 2016
Subjects:
Online Access:http://utpedia.utp.edu.my/17203/1/8.%20Dissertation%20-%2018627.pdf
http://utpedia.utp.edu.my/17203/
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Summary:This project focuses on the placement of surveillance camera of process plant, following the standards set in accordance to PETRONAS Technical Standard (PTS), PTS 32.71.00.10-2.3, where it has been highlighted that all process plants are compulsory to have proper surveillance system with proper placement of surveillance camera and sufficient coverage area referring to the Fire & Gas System Assessment. Apparently, there is no specific software or program to find the optimal placement of surveillance camera in process plant. The surveillance camera placement will be focusing at the Zone 1 area of a hazardous area classification map. Throughout this project, simulation software is being used for computation, analysis and report tabulation. In this project, the image overlaying method between two images: the hazardous area classification map of a process plant and the surveillance camera intensity level is used to measure the coverage area for surveillance camera placement.The combined image will then be further computed and analyzed for area calculation, through Graphical User Interface (GUI) by summing the Red Green Blue (RGB) color pixel respectively, to ensure sufficient coverage area for surveillance camera placement at the process plant. Besides that, pixel by pixel matching is also performed through the simulation software. In this technique, the hazardous area classification map and the surveillance camera intensity level are converted to grayscale images. The converted images are then being compared by using some coding to match the same pixel intensity at same coordinates at these two images. Another image will be generated to show the differentiated pixel intensity at the area with sufficient surveillance camera coverage and area without sufficient camera coverage.