Abstract: Image processing is the science of extracting vital information from an image like edges, color distribution, etc. This information can be used as for analysis and also as a feedback to control many processes. This study gives an insight of how image processing can be used to control crowding of vehicles in a parking lot and compares this system to current smart systems already in place in terms of efficiency and feasibility. A new method to achieve the aforementioned goals involves a slight alteration to the appearance of parking spaces, thus, streamlining the algorithm for a faster detection without a heavy load on computing power. The different algorithms that are the focal point for this study are: canny edge detection and circle hough transform.