IoT Based-Enhancing Banking Security with Multi-CNN Face Recognition and SMS Verification

Integrating facial verification with an SMS system and IoT (Internet of Things) for accessing bank lockers can improve security and convenience. Banking locker systems must be extremely secure in order to protect customer’s expensive items. Traditional access methods sometimes rely on keys or passcodes, which are prone to theft or unauthorized usage. To address these problems, this article introduces an enhanced security feature using the banking locker system which incorporates such sophisticated features as customer registration or a procedure when a customer is captivated by facial recognition. The data is also collected, processed, and kept in a format that cannot be easily accessible by other people. If the customer wants to be served they have to go through a certain order when needing to access their locker conduct facial verification using the developed biometric data decide to select an IoT device to be integrated with the locker system to induce the unlocking process, which is an important step mobile number to be reached for updating through SMS is as follows. This is the customer’s registered mobile phone number which, when used with the above requests, would yield information relating to the attempted access. After the validation stage, the locker is opened to allow the personnel measures of safety to be sensitive, and fundamental measures are applied when hackers are prevented from accessing the account in the face recognition system whenever they are not supposed to the security and safety of messages are kept protected and encrypted, and any attempts at verification lead to security alerts on the network system leading to suspension of their account or provision of certain procedures.