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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29616

IoT-Enabled Automated Teller Machine (ATM) Theft Detection and Automatic Apprehension System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29616

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29616

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BA

Bolla Ajay

SHK

S. Hari Krishna

TD

T. Damodhar

MGP

Ms. G. Priyanka

DTKD

Dr. T. Kiruba Devi

DPDK

Dr. P. Dinesh Kumar

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Abstract

In this study, we present a cutting-edge IoT- based security system tailored for Automated Teller Machines (ATMs) with a primary focus on theft prevention. The core component of the system is an Arduino Uno microcontroller that orchestrates the seamless integration of various devices. A MEMS sensor strategically placed on the ATM door detects tilting, signaling potential unauthorized access. Upon detection, a servo motor is activated, releasing harmful gases as a deterrent to intruders. Simultaneously, a loud buzzer alerts nearby individuals, and an SMS notification is dispatched to predefined contacts to notify relevant authorities. To ensure the prompt containment of the situation. To augment the system’s surveillance capabilities, an IP camera is incorporated to provide real-time streaming of the ATM’s surroundings. This live feed enhances monitoring and allows for remote assessment of potential security threats. The integration of an LCD display serves as an intuitive user interface, offering real-time status updates and feedback on the security system’s functionality. By combining these components, our proposed IoT-based ATM security system aims to deliver a comprehensive solution that not only deters potential theft but also actively responds to security breaches, ensuring the safety and integrity of ATM operations.

KEYWORDS

ATM Theft Detection Servo motor DC Motor Harmful gasses.

Cite This Article

Bolla Ajay, S. Hari Krishna, T. Damodhar, Ms. G. Priyanka, Dr. T. Kiruba Devi, Dr. P. Dinesh Kumar, "IoT-Enabled Automated Teller Machine (ATM) Theft Detection and Automatic Apprehension System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29616

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Publication Date

12/31/45373

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Double-Blind Peer Review

Review Rounds: 2

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