PARKING SPACE COUNTER USING IMAGE PROCESSING
Ambika Gupta Assistant Professor
School of Computer Science and Engineering Galgotias University
Sudhansu Kumar
School of Computer Science and Engineering Galgotias University
ABSTRACT
The paper aims to gift a system for the detection of automobile parking space with the assistance of image process technique. Nowadays, automotive is incredibly vital to everybody. In Cities traffic congestion happens as density of vehicles is high. Whenever we tend to quit by automotive, we tend to face drawback to search out AN available automobile parking space because of the tremendous increase of occupancy of cars. The analogy is once driver enters a certain car parking zone, the primary factor that the motive force do is trying forward of some sign to inform that the car parking zone is absolutely occupied, part occupied or vacant.
The motive force conjointly doesn't know how several cars square measure there and wherever to search out a parking division for his/her automotive. A number of parking divisions could remain unoccupied even the overall occupancy is high. This will cause ineffective use of parking divisions furthermore as traffics jams round the entrance of car parking zone. Therefore, by offering drivers with relevant info on the car parking zone during getting into a car parking zone becomes a very important issue. The planned system known as automobile parking space Detection victimization Image process. This method proposes a technique of detecting the existence of position vehicles by process the image of the car parking zone taken by a police work camera and then count the accessible automobile parking space that is show in front of entrance of car parking zone. The system employs pictures, since all space within the car parking zone will be discovered with relatively few cameras. Aside from that, the system is compact, and therefore the price isn't pricey. The image of a parking lot is taken by a police work camera set at some height within the car parking zone.
Keywords : Parking Space, Image Processing, Image Acquisition, Image Enhancement, Image Segmentation, Image Detection
