Algorithmic Implementation of Parking Spot Detector and Counter using MATLAB and OpenCV

In modern urban environments, efficient utilization of parking spaces has become a critical challenge. While recent technologies have made strides in parking management, the identification of problems in scenarios with sparse vehicle density remains a significant hurdle. This project addresses the issue of parking space occupancy detection within distributed parking ecosystems, with a particular focus on lined and commercial parking lots. It focuses on the exploration of computer vision methods to overcome the challenges posed by varying lighting conditions, environmental factors, and sparse vehicle distribution. The primary objective is to develop an advanced system using Computer Vision to identify vacant parking slots and a counter along with image processing to identify image properties using Matlab. The system's effectiveness is based on Computer Vision technologies like OpenCV as well as Matlab tools for image processing.