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The rapid increase in urban populations has intensified parking challenges, as conventional methods of manually searching for parking slots cause congestion, fuel wastage, and delays. This paper proposes an IoT-driven smart parking solution that integrates real-time monitoring, automated entry–exit control, and a mobile reservation application. The system employs an ESP32-CAM module to capture license plate images, with Automatic Number Plate Recognition (ANPR) performed using Google Vision Optical Character Recognition (OCR) for vehicle verification. A servo motor–based gate mechanism regulates access, minimizing manual intervention. To handle scenarios where number plates are unclear or damaged, a geo-fencing–based fallback mechanism allows users to trigger entry via the app, provided their device is within a predefined radius and a valid reservation exists. The system also supports secure digital payments and provides cloud-based dashboards with real-time analytics for operators. By combining automation, accuracy, and user convenience, the proposed solution enhances parking efficiency, reduces congestion, and contributes to sustainable urban mobility.
Keywords:
ESP32-CAM, NodeMCU ESP8266, ANPR, Google Vision OCR, Geo-Fencing, Android Application, Smart Parking, IoT, and Intelligent Transportation Systems
Cite Article:
"IoT-Driven Smart Car Parking Solution with Automated Entry-Exit and User Reservation App", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.b263-b270, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509133.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator