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TITLE: OPTIMAL
LOCATION OF CLOSED
CIRCUIT TELEVISION
(CCTV): CASE STUDY-
NAIROBI CBD
NAME: ABUGA DUNCAN OYAGI
REG. NO: F19/1458/2010
SUPERVISOR: DR. D N SIRIBA
Outline
Background
Problem Statement
Objectives
Methodology
Results and Analysis
Conclusion
Recommendations
Background
Increased use of CCTVs for surveillance and traffic monitoring.
Location of the CCTVs is key in determining the amount and type
data collected i.e. images and videos
Problem statement
Closed Circuit Television cameras are increasingly being used in the prevention of crime and also recording criminal activities and surveillance in many public areas.
The acquisition and installation of CCTVs is very expensive hence it is critical to determine the most suitable place to locate and install them in order to enable maximum acquisition of information.
Objectives
Main Objective
1. To determination of optimal locations to install CCTV cameras within the Nairobi Central Business District
2. To determine if the installed cameras are optimally located.
Specific Objectives
Specific Objectives
1. To develop an optimal CCTV camera
locations model.
2. To construct a 3D model of the Nairobi
CBD to be used in geovisualization of
optimal location of CCTV cameras.
3. To perform a viewshed analysis to
determine viewing range of cameras.
Key Variables for optimal CCTV location
Hotspots Traffic Car Parks
Data Collection
Coordinate System
Data formats
Database Creation
Data Harmonization
Optimal Location
Data Analysis 3D modellingOptimal location model
View shed analysis
METHODOLOGY
Results and Analysis
Optimal CCTV locations.
3D model and CCTV locations.
Check using installed cameras.
Viewshed analysis and blind spot
identification.
3D model of Nairobi CBD and optimal
CCTV camera locations.
Specific Objectives
To develop a 3D model of the Nairobi
CBD to be used in optimal location of
CCTV cameras.
To model optimal CCTV camera locations
processes using the identified variables.
To check if the installed CCTV cameras
are optimally located
To perform a viewshed analysis to
determine how far and wide the cameras
can view and to detect any blind spots.Using 3D model to enhance geovisualization and spatial
relationship between optimal locations and neighbouring features.
Conclusion
The objectives of the research were
accomplished.
Optimal locations for CCTV installation were
generated by the model.
The locations which are strategic for installing
CCTVs within Nairobi CBD was arrived at after
merging the optimal CCTV locations for crime,
traffic and car parks.
3D model improves geovisualization in
determining optimal location of CCTV cameras.
11 out of the 26 i.e. (42.31%) CCTV cameras
already installed were within 30 metres from the
generated optimal locations.
Recommendations
Use of GIS in determining optimal locations
for CCTV camera installations.
Vector and raster data to be used when
determining CCTV locations.
Data on existing CCTVs to be made
available.
Interface should be developed independent
of ArcGIS for incorporating data in the
model and executing it.