Abstract
Abstract: A given user enters the ATM, conducts the various tasks that are available, such as withdrawing cash, checking the balance in their bank account, and many other things. This is how an ATM of a particular bank operates in today's world, and it is not that difficult. In this study, we concentrate on what is overlooked amidst this normalised situation. A user may enter the ATM with his or her face partially or completely covered, making it impossible for the security camera that might be installed in that space to identify that person's facial features. In addition, there may be unlawful acts going on in the room without anyone taking urgent action to stop them or regulate them. Some users might bring illegal firearms into the ATM room, which might not even be seen by the installed CCTV camera. In this study, we want to enhance the facial recognition of ATM users such that their faces can be recognised even when partially or completely hidden. Then, if a certain user enters the room carrying an illegal weapon, a trigger should be sent to the neighbourhood police station. This is part of our effort to improve weapon detection
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