IoT-Enabled Smart ATM Security System Using Face Recognition, RFID, And OTP VerificationID: 1721 Abstract :The Growing Incidents Of Cyberattacks And ATM-related Crimes Have Created A Pressing Need For Smarter And More Secure Banking Systems. This Project Introduces An IoT-enabled ATM Security System That Combines Facial Recognition, RFID Authentication, And OTP Verification To Establish A Strong, Multi-layer Security Framework Before Any Cash Withdrawal Is Permitted. In This System, The Verification Process Begins With Face Detection And Recognition, Implemented Using Python And OpenCV. The User’s Image Is Captured Through A Camera And Compared With The Existing Records In A Secure Database To Confirm Identity. Once Facial Verification Is Successful, The System Requests The User To Scan An RFID Card, Which Is Validated Against The Stored Information. If The RFID Data Matches, An OTP (One-Time Password) Is Automatically Generated And Sent To The Registered Mobile Number To Provide An Additional Layer Of Security. After Entering The Correct OTP Through A Mobile Application, The User Can Specify The Amount To Withdraw. The Mobile App Communicates With A NodeMCU ESP8266 Microcontroller Through Firebase Or MQTT, Which Manages The Interaction Between The Software And Hardware Components. The NodeMCU Then Activates A Motor Mechanism That Simulates The Cash Dispensing Function, And An LCD With An I2C Interface Shows Real-time Transaction Updates And Status Messages. This Integrated System Enhances ATM Security By Uniting Biometric Verification, RFID Authentication, And OTP Validation Within A Single IoT Framework. It Allows Real-time Monitoring, Remote Access, And Data Management, Ensuring A Reliable And Intelligent Solution For Preventing Unauthorized Access And Improving User Safety In Modern Banking Environments. Keywords: IoT, ATM Security, Face Recognition, RFID Authentication, OTP Verification, NodeMCU, Image Processing. |
Published:15-10-2025 Issue:Vol. 25 No. 10 (2025) Page Nos:78-89 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to Cite |