Non-contact Based Recognition System in Low Power SoC Board using Raspberry pi for ATM Applications During COVID

COVID is a deadly virus whose rate of infection is severely varying day by day. It affects larger crowd by changing its structure rapidly. To safeguard people, government announced many restrictions to the public access. During this pandemic, people are advised to be in non- contact mode so as to avoid the spread of deadly virus. But getting money in ATM machines are mandatory to buy necessary things and medicines. The access to ATM with ATM cards may cause the spread of deadly disease. Thus a better replacement is required these days. The proposed paper work, explains on the new projected algorithm with the help of Raspberry pi and Soc board to develop a non-contact based recognition system. Also the paper compares the projected system with the existing finger print access to ATM machines. The proposed system is developed with Raspberry pi and Soc board. A non-contact based recognition system is projected so as to reduce the spread of deadly virus. The person who wants to withdraw money from ATM has to stand before the machine. The face will be recognized by the machine in comparison with the database stored. After face been recognized, then the list of banks in which the person has accounts will be projected on the screen. The person can choose the bank from which he/she can withdraw money through voice control access. This method provides a non-contact based access to ATM machines and also supports for single centralized access to multiple banks. This reduces the effort of access to banks during pandemic. The main benefit of the projected system is to reduce the theft happens in the ATM machines. Also a guardian access with the customer approval is proposed in the system for easy access to the banks.