Car park slot finding framework

摘要

Increase in population has resulted in the increase of vehicles which make parking a vehicle during rush hours a horrendous task. This may result in congestion inside parking areas which causes unnecessary wastage of time and gasoline. Many attempts have been made to solve this problem, but most of them require various types of sensors to identify the presence of a vehicle. Although Image Processing based solutions also have been provided to solve this problem, it was noted that most of these Image Processing approaches tend to be un-customizable to fit any type of car park. This research presents an image processing based approach of designing and implementing a car park slot finding framework to address above mentioned problems. A customizable web based system in which the administrator can add, remove or reserve slots according to his needs is proposed. This system will also provide navigation to the nearest vacant slot to its users (drivers entering the car park) and make the process of parking more efficient. This system has an overall accuracy of 98%.