Nowadays parking of a car has become a great issue in this metropolitan cities. Smart parking systems, when implemented correctly, can significantly alleviate many of the difficulties associated with traffic congestion in urban areas. Many modern parking systems will have a fundamental section of Empty Parking Slot Detection. This paper mainly concentrates on smart parking system based on image processing which is developed for open parking plots and many more. It is proposed as an acquisition to new evolving technology by using python programming and OpenCV tools library. Using edge detention and coordinate constrained pixel portions, it is possible to detect unoccupied parking spaces using photos of the parking lot. Edge detection helps in many ways in processing the image by noise reduction, locating the intensity gradient in the image, non-maximum suppression and hysteresis threshold. In the other section, a digital image consists of columns and rows of pixels. A pixel in a particular image can be identified by determining which column and row it belongs to. The graphic system would then transform the image coordinates into pixel coordinates

Keywords: Smart Parking, Edge detection, Open CV