Smart Parking Revolution: Integrating AI and IoT for Autonomous Management

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Santhosh Nagulan, Kirubakaran R, Lakshmanan P, Prasanth B

Abstract

As urbanization increases, effective parking solutions are vital for managing space constraints and reducing traffic congestion. Smart parking systems that integrate Artificial Intelligence (AI) and the Internet of Things (IoT) enhance user experience, optimize space utilization, and provide real-time updates. These systems also support environmental sustainability by minimizing fuel consumption and emissions. However, existing solutions often suffer from limited scalability, poor real-time data handling, and inadequate IoT integration. Additionally, Automatic License Plate Recognition (ALPR) systems frequently struggle with accuracy in varying environmental conditions. To address these issues, this project proposes an Autonomous Parking Management System that combines AI and IoT technologies. The system dynamically allocates parking spaces using AI for accurate vehicle identification and IoT for real-time space monitoring. A camera-based ALPR module enables quick and precise license plate recognition. Users can register their vehicle, reserve slots, and receive status notifications through a user-friendly mobile application.

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