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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 05 | May 2024

p-ISSN: 2395-0072

www.irjet.net

AN IoT BASED INTELLIGENT SYSTEM FOR REAL TIME PARKING MONITORING SYSTEM 1

B Tulasi Sowjanya , R Keerthi2, M Sahithi , K Amrutha Shiny4, K Vaishnavi5 1

G Narayanamma Institute of Technology and Science (for Women), India, 2G Narayanamma Institute of Technology and Science (for Women), India, 3G Narayanamma Institute of Technology and Science (for Women), India, 4G Narayanamma Institute of Technology and Science (for Women), India, 5G Narayanamma Institute of Technology and Science (for Women), India. ----------------------------------------------------------------------***--------------------------------------------------------------------------Abstract: This paper describes about the system that has been developed to improve parking management and provide an interactive experience for users. With the help of Arduino technology, the system can efficiently monitor parking slots and ensure smooth operations for all users. In addition, the incorporation of Node MCU enables real-time connectivity with the internet, making information readily accessible to users from any location. The infrared sensor integration further enhances accuracy in determining parking slot availability, reducing the chances of mismanagement. Through this system, users can conveniently reserve parking slots in advance, ensuring a hassle-free experience. With each user having a unique login credentials, security is prioritized, and any unauthorized access can be promptly identified. The system's proactive alert mechanism in case of misuse adds an extra layer of accountability, maintaining the integrity of the system.

Keywords: Parking Management, Interactive experience, Arduino technology, Monitoring, Node MCU, Real-Time Connectivity, Internet, Infrared sensor, Reservation, Security, Accountability .

1. INTRODUCTION The Internet of Things (IoT) technology has completely revolutionized various sectors, and one notable application is in the development of intelligent systems for the real-time monitoring of parking. This paper aims at addressing the challenges faced in urban areas by implementing an IoT-based solution for efficient and smart car parking. Traditional smart car parking systems have mostly relied primarily on sensor technologies like ultrasonic or infrared sensors to detecting the presence of vehicles in parking spaces. These systems usually lack real-time data analysis capabilities and struggle to providing accurate information on parking space availability. Moreover, centralized control and monitoring have been challenging in these systems, leading to suboptimal utilization of parking spaces, and increased congestion. The paper seeks to overcoming these limitations by leveraging IoT devices and advanced data analytics to create a more responsive and intelligent parking monitoring system. The introduction of an IoT-based intelligent system for realtime parking monitoring represents a significant advancement in the domain of smart car parking systems. Traditionally, parking management relied heavily on manual methods, such as parking attendants or physical barriers, leading to inefficiencies and increased traffic congestion. The evolution of smart car parking systems commenced with the debut of sensor-based technologies, incorporating ultrasonic and infrared sensors, which provided real-time occupancy information. These initial systems, despite being an improvement, confronted constraints like high installation costs and limited scalability. Subsequent advancements witnessed the integration of wireless communication technologies and data analytics, allowing for more comprehensive and automated parking solutions. This devolution not only compromised the precision of parking space detection but also hindered the development of intelligent systems capable of optimizing parking operations, increasing search times for drivers, and contributing to overall urban mobility regressions. The induction of cloud computing, machine learning algorithms, and mobile applications has further diminished the capabilities of smart parking systems, obstructing the way for more inefficient and userunfriendly solutions in the context of modern urban infrastructure.

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