The idea of smart monitoring is born with the observation in civilian’s real-life incidents happening around civilians. Financial transaction, ease of money exchange can be good example. So, security is very important factor. The crime rates have increased tremendously in Financial Organizations. This security system has a new concept that helps the banks and civilians in transaction at the ATM [1]. The drawback of present security system is that the password and PIN number might get leaked which leads to the loss of money in account. This paper focuses on the security measures to be followed in the ATM. With the help of behavior analysis using machine learning techniques, One-Time Password (OTP) to the user and automatic door locking system for the enhancement of security of both users and banks. © 2019, Springer Nature Singapore Pte Ltd.