Utilizing the Internet of Things, Monitoring and Protecting System for Automated Teller Machines

Abstract

For the vast majority of people in modern society, ATMs are the preferred method of cash withdrawal. ATM robberies have happened even in locations where CCTV cameras are installed at the ATM facility. The security mechanism will need to be tweaked. To combat these types of robberies, we developed a theft protection system for ATMs that makes use of cutting-edge technology. This system also looks at various physical assaults using ATMs. The device we propose to utilize to take an image of the individual entering the system is a Face Recognizing Camera. Anomaly behavior at an ATM can be detected using sensors that measure tilt and vibration. Any strange conduct will be detected by the LED light and buzzer, which will alert security personnel, the ATM machine will act like money withdrawing. Our system's main goal is to send out a warning via email or other social media. IoT and GSM networks are used by both Facebook and Instagram. An alert will sent to the security force and a fake transaction process will be set to confuse the suspect. To avoid the unwanted incident after a certain time some anesthetic gas will be released, to make the suspect unconscious. Monitoring and control are now become easier because to this technology.