International Journal of Science, Engineering and TechnologyAutomatic Number Plate Recognition System
Authors- Dipali Ambadkar, Sanika Ghyar, Isha Dhande, Akansha Sawale, Dr. K.N Kasat
Abstract-With increasing urbanization, the demand for efficient parking management systems has risen significantly. Traditional methods relying on manual intervention are prone to human errors, security risks, and inefficiencies. This paper proposes an automated paid parking management system utilizing number plate recognition (NPR) technology to streamline vehicle identification, entry-exit monitoring, and digital payment processing. The system integrates machine learning, image processing, and web-based technologies to enhance security and optimize space utilization. Experimental results indicate a 97% accuracy rate in standard lighting conditions, with real-time transaction processing under three seconds.
DOI: /10.61463/ijset.vol.13.issue2.215
