AI Unlocking the Future: Intelligent IoT-Enabled Electronic Lock Control Systems for Next-Gen Door Security

Sweta Pareek, Shilpa Pareek (), Swati Sharma, Deepa Chauhan, Divya Sharma and Neelam Sunda
Additional contact information
Sweta Pareek: University of Engineering and Management
Shilpa Pareek: Kanoria PG Mahila Mahavidyalaya
Swati Sharma: Kanoria PG Mahila Mahavidyalaya
Deepa Chauhan: Kanoria PG Mahila Mahavidyalaya
Divya Sharma: Kanoria PG Mahila Mahavidyalaya
Neelam Sunda: Kanoria PG Mahila Mahavidyalaya

A chapter in Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), 2025, pp 183-191 from Springer

Abstract: Abstract Establishing remote connections and monitoring the web enabled entities can easily be done with the help of IoT or Internet of Things as we popularly know. This concept can be used for implementing a robust home security system. This basically is the proposal of a door locking system for a smarter and safer abode using the IoT technology.The Arduino Nano controlled door lock system can be accessed from anywhere in the world using a simple application on mobile with a unique credential combination. In any kind of contingency like forceful entry, immediate alert message is sent to user on his phone. The proposed system consists of a microcontroller to control the electromagnetic valve of electrical lock, an onboard Wi-Fi module for accessing the internet and a power module to drive the entire system.

Keywords: IOT; Home Security Automation; Arduino; ESP01 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-898-1_15

Ordering information: This item can be ordered from
http://www.springer.com/9789464638981

DOI: 10.2991/978-94-6463-898-1_15

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().