| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 11 | |
| Section | Green Computing | |
| DOI | https://doi.org/10.1051/e3sconf/202561602004 | |
| Published online | 24 February 2025 | |
Smart Home and Security Systems: An IoT-Based Approach Utilizing ESP 32 and Multi-sensor Integration
1 III Year EEE UG Student, B V Raju Institute of Technology, Narsapur, Telangana, India
2 Department of CSE, CMR Institute of Technology, Hyderabad, India
3 Department of EEE, Vardhaman College of Engineering, Hyderabad, India
4 B V Raju Institute of Technology, Narsapur, Telangana, India
5 Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India
6 Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India
* Corresponding author: saravananklu@gmail.com
This paper introduces an innovative IoT-based smart home and security system employing the ESP 32 microcontroller for comprehensive automation and safety. The system integrates various sensors, including a rain sensor for precipitation detection, a fire sensor for early fire warnings, a gas sensor for identifying flammable gases like LPG, and a moisture sensor to manage garden irrigation based on humidity levels. Additionally, a unique QR code calling bell system with video capability allows visitors to initiate a video call notification on the homeowner’s mobile device, facilitating remote door access. Family members can bypass the video call for seamless entry, while vehicles equipped with a QR code scanner can trigger automatic door opening via servomotors. The notification board, featuring LEDs and buzzers, ensures immediate alert delivery. This paper explores the architecture, implementation, and benefits of the proposed system, emphasizing its contribution to enhanced home security and automation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.