Intelligent algorithm for automatic multistoried parking system using image processing with vehicle tracking and monitoring from different locations in the building

Abstract

This paper presents an intelligent algorithm implemented to design an intelligent parking system in an existing multistoried parking facility. The system will automatically guide the user (driver) to vacant parking slot; the system will keep the track of vehicles by remembering the vehicle number and will allow user to locate the exact parking slot of his vehicle in the multistory parking, from any location in the building. All this is done with the help of image processing using image binarization and segmentation techniques and with very minimal use of hardware to ensure that the cost of the system is very small. Parking is a very big problem today, especially in the big cities, and we are well aware of it. We have built multistoried parking facilities in malls, multiplexes, large crowded market places, but these parking facilities are manually operated; as a result, users face problems such as difficulty in ticketing, locating a free parking slot for parking, locating where their vehicle is parked among 1000s of vehicles. In our system, we have used two cameras and MATLAB for image processing. We have created a pseudoparking space with parking slots and obtained our results. As you will find out from the snapshots in the description below, it is shown that our system successfully (1) identifies the vehicle with its registration number, (2) identifies the available parking slots, and (3) ties the parking slot to vehicle number and stores it in the memory so that users can locate their vehicle.