Real-Time Parking Slot Detection and Enhanced Security System for Public Parking Using IoT

rban parking systems face critical challenges, including inefficient slot detection, traffic congestion, and security vulnerabilities like unauthorized access. This paper proposes an IoT-based smart parking system that integrates infrared (IR) sensors and RFID technology to enable real-time parking slot detection and enhanced security. The system employs IR sensors to monitor slot occupancy with a response time of < 2 seconds, relaying data via NodeMCU ESP8266 to a Blynk mobile app for real-time user updates. Simultaneously, an EM18 RFID reader authenticates users, preventing unauthorized entry. Experimental results demonstrate 95% detection accuracy and 1.2-second authentication latency, while scalability tests confirm viability for deployments in malls, hospitals, and other high-demand areas. By automating slot detection and access control, the system reduces manual intervention, optimizes parking efficiency’ and addresses key urban mobility challenges. Future work includes integrating GPS for dynamic slot navigation and pre-booking capabilities.rban parking systems face critical challenges, including inefficient slot detection, traffic congestion, and security vulnerabilities like unauthorized access. This paper proposes an IoT-based smart parking system that integrates infrared (IR) sensors and RFID technology to enable real-time parking slot detection and enhanced security. The system employs IR sensors to monitor slot occupancy with a response time of < 2 seconds, relaying data via NodeMCU ESP8266 to a Blynk mobile app for real-time user updates. Simultaneously, an EM18 RFID reader authenticates users, preventing unauthorized entry. Experimental results demonstrate 95% detection accuracy and 1.2-second authentication latency, while scalability tests confirm viability for deployments in malls, hospitals, and other high-demand areas. By automating slot detection and access control, the system reduces manual intervention, optimizes parking efficiency, and addresses key urban mobility challenges. Future work includes integrating GPS for dynamic slot navigation and pre-booking capabilities.U

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/icict64420.2025.11004858
Primary Topic
Smart Parking Systems Research
Type
article
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article

Real-Time Parking Slot Detection and Enhanced Security System for Public Parking Using IoT

Bindu Madhavi Tummala, M. Kumar, Shaik Nagurbasha
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Smart Parking Systems Research
article

Real-Time Parking Slot Detection and Enhanced Security System for Public Parking Using IoT

Bindu Madhavi Tummala, M. Kumar, Shaik Nagurbasha
article en

Abstract

rban parking systems face critical challenges, including inefficient slot detection, traffic congestion, and security vulnerabilities like unauthorized access. This paper proposes an IoT-based smart parking system that integrates infrared (IR) sensors and RFID technology to enable real-time parking slot detection and enhanced security. The system employs IR sensors to monitor slot occupancy with a response time of < 2 seconds, relaying data via NodeMCU ESP8266 to a Blynk mobile app for real-time user updates. Simultaneously, an EM18 RFID reader authenticates users, preventing unauthorized entry. Experimental results demonstrate 95% detection accuracy and 1.2-second authentication latency, while scalability tests confirm viability for deployments in malls, hospitals, and other high-demand areas. By automating slot detection and access control, the system reduces manual intervention, optimizes parking efficiency’ and addresses key urban mobility challenges. Future work includes integrating GPS for dynamic slot navigation and pre-booking capabilities.rban parking systems face critical challenges, including inefficient slot detection, traffic congestion, and security vulnerabilities like unauthorized access. This paper proposes an IoT-based smart parking system that integrates infrared (IR) sensors and RFID technology to enable real-time parking slot detection and enhanced security. The system employs IR sensors to monitor slot occupancy with a response time of < 2 seconds, relaying data via NodeMCU ESP8266 to a Blynk mobile app for real-time user updates. Simultaneously, an EM18 RFID reader authenticates users, preventing unauthorized entry. Experimental results demonstrate 95% detection accuracy and 1.2-second authentication latency, while scalability tests confirm viability for deployments in malls, hospitals, and other high-demand areas. By automating slot detection and access control, the system reduces manual intervention, optimizes parking efficiency, and addresses key urban mobility challenges. Future work includes integrating GPS for dynamic slot navigation and pre-booking capabilities.U

Siddhartha Medical College (IN)
Sustainable cities and communities
Openalex Percentile: Top 89%
Smart Parking Systems Research
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