Ninik Sri lestari, Rahmad Hidayat, Herlina Herlina, Sukirno Sukirno

DEVELOPMENT OF A SMART PARKING SYSTEM USING AUTOMATIC DEBIT AND OPTICAL CHARACTER RECOGNITION

Introduction

Development of a smart parking system using automatic debit and optical character recognition. Develops a smart parking system using automatic debit and Optical Character Recognition (OCR) for efficient vehicle identification and automated payments. Reduces costs, improves accuracy, and enhances user convenience for modern parking management.

Abstract

The current parking infrastructure predominantly relies on traditional or semi-automatic mechanisms, leading to significant inefficiencies during peak hours. This study proposes the development of a fully automated smart parking system utilizing locally sourced Indonesian components to reduce dependence on imported parts. The proposed Auto-Debit Smart Parking System incorporates Optical Character Recognition (OCR) for vehicle identification and automated payment, improving both accuracy and operational efficiency. The system consists of two primary modules: server software for gate control and an image-processing host application. Space Vector Pulse Width Modulation (SVPWM) is employed for switching control, and communication is facilitated via wired or wireless channels using the RS232C standard. Vehicle entry and exit are detected by sensors that transmit signals to the Command TX module. To evaluate real world applicability, the system was implemented and tested in various public and commercial environments, including office buildings, shopping malls, and open parking areas.These testing sites represent common urban parking conditions with varying lighting, network connectivity, and traffic density, allowing the system’s adaptability and reliability to be analyzed comprehensively. An experimental research method is adopted, encompassing prototype development, testing, data acquisition, and performance evaluation. The results indicate reduced operational costs and enhanced user convenience, validating the system’s effectiveness in supporting modern, efficient parking management

Review

This paper addresses the common problem of inefficiencies in traditional parking systems, particularly during peak hours, by proposing a fully automated smart parking solution. The core innovation lies in the integration of Optical Character Recognition (OCR) for accurate vehicle identification and an auto-debit system for automated payment, aiming to enhance both accuracy and operational efficiency. A distinguishing feature of this research is its commitment to utilizing locally sourced Indonesian components, a commendable effort to reduce dependency on imported parts. The described system architecture, comprising server software for gate control and an image-processing host application, leverages Space Vector Pulse Width Modulation (SVPWM) for precise control and RS232C for reliable wired or wireless communication. The study presents a robust and practical approach to modernizing parking infrastructure. The use of OCR coupled with an automated payment system offers a comprehensive solution for achieving truly contactless and efficient parking management. The authors' dedication to using local components not only supports domestic industry but also potentially offers economic benefits and strengthens supply chain resilience. Furthermore, the experimental research methodology, which includes prototype development, rigorous testing, data acquisition, and performance evaluation in varied real-world settings (office buildings, shopping malls, open parking areas), speaks to a thorough assessment of the system's adaptability and reliability under diverse operational conditions, including varying lighting, network connectivity, and traffic density. While the abstract strongly outlines the system's development and evaluation strategy, a crucial enhancement for the full manuscript would be the presentation of specific quantitative performance metrics. Assertions of "reduced operational costs and enhanced user convenience" would be significantly strengthened by data such as OCR accuracy rates, average processing times per vehicle, measured reductions in queue lengths, and comparative cost savings. Additionally, a brief discussion on the security measures implemented for the auto-debit mechanism and data transmission, especially given the use of RS232C, would add further credibility. Nevertheless, this work presents a promising and well-designed smart parking system with significant potential for practical application, representing a valuable contribution to the field of intelligent transportation systems.

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