Advanced ATM Transaction Security with OTP Verification and Face Recognition

At the core of the current ATM security authentication mechanism is pin-based verification. Numerous elements could impact the system, such as urgency, pin memorization, interaction speed, and uninten-tional pin sharing. Cards with magnetic chips can be easily copied. An automated machine becomes vul-nerable when its security is breached; security and vulnerability are two sides of the same coin. Automat-ed teller machine manufacturers are constantly adding and enhancing security measures to ensure that consumers may complete banking transactions without hassle or fear of funds being deducted from their accounts. To gain access to the automated teller machine and exploit the bank accounts, the same scam-mers, however, work just as fast to circumvent the recently created security measures. We want to stop ATM theft, misuse, and theft in order to assist people live safe and secure lives. An intelligence framework serves as the foundation for the proposed solution, which aims to promote worldwide digitization and guarantee that ATMs are utilized without hesitation or delay. The customer's card is inserted into the ATM, and the process begins. The idea behind the ATM security system is face verification, which was created to provide users with a true security solution. The main goal of the project is to design and construct a face verification and LRR algorithm-based ATM security system. Our proposed framework addresses inadequacies of the current system. You will be able to process any transaction using the system. The system will ask the first self-user to "Verify Face" and, if the image matches the one that banks have on file, allow the transaction to proceed.