Two Factor Authentications of Automatic Teller Machine (ATM) Users via Radio Frequency and Face Identification

The main objective of this project is to develop an embedded system, which is used for security applications. In this Automatic Teller Machine (ATM) system we give access to the authorized people through the RFID tags and Face recognition using IOT technology. This method suggests for a technical innovation which aims at preventing all the financial fraud. In this method mix two type of security (Face Recognition and Radio Frequency Identification) which make the security stronger and reliable. If unauthorized person access the ATM we get notification from IOT. We supposed to block the operation the web camera automatically on and capture the corresponding person image infront of the ATM and store the images in server with ATM code. We focus on the scenario and the platform, and report tests with the proposed system under challenging conditions, obtained from ATMs placed in the field.