The increased threat encountered by customers and ATM machines, have drifted the ATM center to a danger zone. The present day monitoring system is much vulnerable which in turn encourages the fraudulent activities and crimes in ATM centers. This is high-time for banking sector and government to join hands to weed out this crisis in security system. So it becomes indispensable to strictly monitor the do‟s and don‟ts inside the ATM centers, very specifically the facial recognition is considered to authenticate the entry of any individual inside the ATM center, it is achieved by employing classifier technique. As an additional feature, a combinational biometry system is used to access the ATM machine. The entire security module is incorporated with an easy access panic button and a sound sensor-cum-alarm, which alerts the cops as well as the bank‟s security wing, ensuring immediate rescue to the victims including physically challenged people. This overall system proves to be an autonomous, continuous and secured surveillance system.