Design And Implementation Of Atm Security System Using Ai And Internet Of Things

Abstract

Automated Teller Machines (ATMs) Are Increasingly Vulnerable To Physical Attacks, Fraud, And Unauthorized Access Due To Limited Real-time Monitoring And Delayed Response Mechanisms. This Work Presents The Design And Implementation Of An Intelligent ATM Security System Using Artificial Intelligence (AI) And The Internet Of Things (IoT). The Proposed System Integrates Embedded Sensors, A Microcontroller-based Control Unit, And IoT Communication Modules To Continuously Monitor ATM Conditions And Detect Abnormal Activities Such As Tampering, Intrusion, Or Unauthorized Transactions. AI-based Decision Logic Enhances Threat Detection Accuracy, While IoT Connectivity Enables Real-time Alerts And Remote Monitoring Through Cloud Platforms And Mobile Interfaces. Experimental Results Demonstrate Reliable System Operation, Timely Alert Generation, And Effective Security Response. The Proposed Solution Provides A Cost-effective, Scalable, And Intelligent Security Framework Suitable For Modern ATM Environments.

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