Development of a Prototype for Smart Parking System

Abstract

The need for effective parking solutions is rising in metropolitan areas as a result of the expanding number of automobiles. Conventional parking systems frequently experience poor space usage, inefficiency, and congestion. This study introduces a Smart Parking System that improves parking management by utilizing computer vision, embedded technologies, and the Internet of Things (IoT). The system incorporates Wi-Fi-enabled real-time monitoring through the Blynk cloud platform, a QR code-based authentication system for secure parking access, and infrared (IR) sensors to identify the presence of vehicles. Furthermore, in the event of an unauthorized parking attempt, a buzzer alarm is activated by an ESP32-Cam based microcontroller that interprets parking data. This system seeks to improve security, minimize traffic congestion, and maximize space use by putting automatic parking detection and real-time slot availability tracking into place. The results demonstrate improved parking efficiency and reduced unauthorized access, making it a scalable and cost-effective solution for smart cities.