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Kaarthik, K., Sridevi, A. and Vivek, C. (2017) Image Processing Based Intelligent Parking System. 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), Karur, 27-28 April 2017, 1-4.
https://doi.org/10.1109/ICEICE.2017.8191876

has been cited by the following article:

• TITLE: Smart Parking Management System “MOTAH”

  AUTHORS: Iman Alansari, Ghadah Alnamlah, Razan Abduallah, Jumana Alluqmani, Alaa Alzahrani

  KEYWORDS: Car Parking, Traffic Density Estimation, Intelligent Transportation, Congestion, Control, Parking Arrangement, Parking Behavior

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.17 No.6, June 27, 2024

  ABSTRACT: With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.