Arduino-Powered Parking System with Real-Time Proximity Space Monitoring

This paper presents an innovative Arduino-based smart parking system that utilizes ‎real-time proximity sensing to efficiently manage parking spaces. The system ‎employs ultrasonic sensors, LCDs, LED indicators, and a Wi-Fi module to ‎deliver accurate and intuitive feedback to drivers. When an available parking space is ‎detected, the system automatically updates the parking status and guides the driver to ‎the vacant spot, thereby reducing search time and fuel consumption. The system can ‎also be integrated with cloud databases and mobile applications, enabling remote ‎access to real-time parking data and enhancing user convenience. Automated space ‎allocation minimizes human intervention, increases operational efficiency, and ‎reduces costs. IoT-enabled connectivity ensures seamless data exchange for ‎continuous monitoring and predictive analytics, optimizing overall parking ‎management. Security is enhanced through camera-based vehicle identification, ‎preventing unauthorized access and improving enforcement. The system’s modular ‎and scalable design makes it suitable for deployment in diverse settings such as ‎shopping malls, office complexes, hospitals, airports, and universities.