Real-time Street Parking Availability Estimation

Abstract

     The rapid growth of cities in India initiated rapid growths of motor vehicles that resulted in unacceptable traffic congestions and a high rate of illegal parking incidents. The rapid growth of cities in India initiated rapid growths of motor vehicles that resulted in unacceptable traffic congestions and a high rate of illegal parking incidents. The conditions require immediate application of modern traffic management systems combined with parking systems. An autonomous parking space monitoring system builds its base using OpenCV and Python integration for the management of parking complexes. The system process video or image inputs from parking areas IHigh-end image preprocessing algorithms with adaptive thresholding techniques combined with contour analysis are employed to automatically transform parking space detection into autonomous processes for tracking available spots and providing visual tallies of empty spaces. The scalable technology system demonstrated improved operational efficiency with autonomous surveillance monitoring since it works well at scale. The system acts as part of smart city infrastructure to provide users with improved experience while enhancing space efficiency. The system is a key advancement towards city transport systems using data and smart functions.