Automatic teller machine abnormality detector using machine to machine technology

Abstract

The Automatic Teller Machine (ATM) anomaly detection is an area of research aimed at preventing physical and electronic theft from ATMs as well as securing their installations. This is achieved by using Machine to Machine (M2M) technology. M2M is a communication technology. It allows for real-time tracking without the need for human interference. Using an anti-skimming defence device, we can detect fraud invisibly. An individual wearing a helmet or mask can be recognized using recognition technology, and anomalies can be identified using vibration and flame sensors. This application is used in ATM centres to improve security.