Vision Based Automated Parking System

This paper describes an approach to overcome a
situation of monitoring and managing a parking area using a
vision based automated parking system. With the rapid
increase of cars the need to find available parking space in
the most efficient manner, to avoid traffic congestion in a
parking area, is becoming a necessity in car park
management. Current car park management is dependent on
either human personnel keeping track of the available car
park spaces or a sensor based system that monitors the
availability of each car park space or the overall number of
available car park spaces. In both situations, the information
available was only the total number of car park spaces
available and not the actual location available. In addition,
the installation and maintenance cost of a sensor based
system is dependent on the number of sensors used in a car
park. This paper shows a vision based system that is able to
detect and indicate the available parking spaces in a car park.
The methods utilized to detect available car park spaces were
based on coordinates to indicate the regions of interest and a
car classifier. This paper shows that the initial work done
here has an accuracy that ranges from 90% to 100% for a 4
space car park. The work done indicated that the application
of a vision based car park management system would be able
to detect and indicate the available car park spaces