Car parking lots are an important object class in
many traffic and civilian applications. With the problems of
increasing urban traffic congestion and the ever increasing
shortage of space, these car parking lots are needed to be well
equipped with automatic parking Information and Guidance
systems. Goals of intelligent parking lot management include
counting the number of parked cars, and identifying the
available location. This work proposes a new system for
providing parking information and guidance using image
processing. The proposed system includes counting the number
of parked vehicles, and identifying the stalls available. The
system detects cars through images instead of using electronic
sensors embedded on the floor. A camera is installed at the
entry point of the parking lot. It will capture image sequences.
Setting image of a car as reference image, the captured images
are sequentially matched using image matching. For this
purpose edge detection has been carried out using Prewitt edge
detection operator and according to percentage of matching
guidance and information is provided to the incoming driver.