Paper Title

Smart Rent Monitoring and Automated Access Control System Using ESP32 and IoT Technology

Authors

KODICHERLA RAHUL , BODDUPALLY BALASHANKAR , GADDAM ROHITH KUMAR

Keywords

ESP32, Internet of Things, Smart Rent Monitoring, Access Control, Relay Module, Solenoid Valve, Embedded Systems, Property Management, Automation, IoT Applications

Abstract

The Smart Rent Monitoring System using ESP32 is an IoT-based solution developed to automate rental property management. The system integrates a web-based dashboard with an ESP32 microcontroller to monitor rent payment status in real time. Based on the payment condition, the ESP32 controls a relay module connected to a bulb and a solenoid valve. When rent is paid, power supply and access are granted automatically. If the rent remains unpaid beyond the grace period, the system restricts access and disconnects the connected load. The web application allows property owners to manage tenant information and monitor payment records efficiently. Experimental results demonstrate reliable communication between hardware and software components. The proposed system reduces manual effort, prevents power misuse, and improves rental management efficiency. Furthermore, it provides a cost-effective and scalable solution for smart property monitoring applications.

How To Cite

"Smart Rent Monitoring and Automated Access Control System Using ESP32 and IoT Technology", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.b279-b282, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606155.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : b279-b282

Other Publication Details

Paper Reg. ID: JETNR_235163

Published Paper Id: JETNR2606155

Downloads: 00056

Research Area: Science and Technology

Country: Hyderabad, Telangana, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606155

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606155

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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