Volume 2 - Issue 2, March - April 2026

The rising number of cars in urban areas, caused traffic congestion, poor utilisation of parking spaces and increased pollution. Parking Space Detection Systems (PSDS) provide an answer to these challenges. In this report we will conduct a complete analysis of PSDS as provided by the OpenCV, an open-source computer vision library. The details of techniques, algorithms and methods used in the OpenCV PSDS system, will also include: image processing, object detection, and machine learning. Using PSDS technology users can find parking lots, determine whether the parking lot has available spaces and make or cancel reservations as desired. This in turn, leads to reductions in the number of vehicles searching for available parking spaces and thereby contributing to lower traffic congestion in metropolitan areas.

Mr.I.Gobi, Madhankumar.G,"Innovations in Parking Management: Addressing Urban Mobility Challenges" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(428-433) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.