Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 12, July 2022

A Novel Intelligent Image-Processing Parking Systems


Sree Veera Venkata Sai Saran Naraharisetti, Benjamin Greenfield, Benjamin Placzek, Steven Atilho, Mohamad Nassar and Mehdi Mekni, University of New Haven, USA


The scientific community is looking for efficient solutions to improve the quality of life in large cities because of traffic congestion, driving experience, air pollution, and energy consumption. This surge exceeds the capacity of existing transit infrastructure and parking facilities. Intelligent Parking Systems (SPS) that can accommodate short-term parking demand are a must-have for smart city development. SPS are designed to count the number of parked automobiles and identify available parking spaces. In this paper, we present a novel SPS based on real-time computer vision techniques. The proposed system provides features including: vacant parking space recognition, inappropriate parking detection, forecast of available parking spaces, and directed indicators toward various sorts of parking spaces (vacant, occupied, reserved and handicapped). Our system leverages existing video surveillance systems to capture, process image sequences, train computer models to understand and interpret the visual world, and provide guidance and information to the drivers.


Smart Cities, Car parking, Image Processing, Edge detection, Object Recognition.