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  Published Paper Details:

  Paper Title

IoT-Based Intelligence System for Parking Monitoring and Automatic Billing

  Authors

  Ms. B. Kalika Bai,  Allada Hima Sai Naga Jyothi,  Ghattamaneni Naga Teja,  Matta Charishma,  Prodduturi Srinivas

  Keywords

IOT, Intelligent Parking System, RFID Authentication, Automated Billing, ESP8266 Micro Controller, Real-Time Monitoring.

  Abstract


The IoT-based intelligent parking system is designed to enhance parking management by automating real-time space monitoring, vehicle authentication, and billing processes. The system integrates IoT components such as ESP8266, RFID technology, and line sensors to ensure efficient and accurate tracking of parking slot occupancy. RFID authentication enables secure vehicle entry and exit, preventing unauthorized access while ensuring a seamless user experience. Real-time data transmission to a cloud server allows users to check parking availability remotely, reducing congestion and improving space utilization. The automated billing system accurately calculates parking fees based on entry and exit times, eliminating manual errors and enhancing transparency. Wireless communication ensures seamless integration with digital payment systems, further improving convenience. The system is designed to be energy-efficient and scalable, making it suitable for deployment in urban environments and smart city infrastructure. By leveraging IoT and cloud computing, the proposed system offers a cost-effective and reliable solution to modern parking challenges, optimizing space management while improving security and operational efficiency. The implementation of this system promises to alleviate parking-related issues in urban settings, providing an innovative approach to managing parking resources effectively

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504385

  Paper ID - 281893

  Page Number(s) - d290-d297

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ms. B. Kalika Bai,  Allada Hima Sai Naga Jyothi,  Ghattamaneni Naga Teja,  Matta Charishma,  Prodduturi Srinivas,   "IoT-Based Intelligence System for Parking Monitoring and Automatic Billing", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d290-d297, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504385.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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