FaceSecure ATM: Enhanced Transaction Security with Haar Cascade Facial Detection
Laksha B. S, M Krishnavani · 2024
The security of financial transactions through Automated Teller Machines (ATMs) has become critical due to the growing reliance on these devices. This paper presents a novel method of integrating facial detection using the Haar Cascade algorithm to improve ATM security. FaceSecure ATM uses Haar Cascade face recognition technology to improve transaction security at automated teller machines (ATMs). While biometric-based security solutions like facial recognition offer a more reliable and practical identification mechanism, traditional ATM security methods like PINs and cards can be compromised through theft or fraud. By using face recognition technology to confirm the identity of ATM customers, FaceSecure ATM seeks to offer a smooth and secure transaction experience while lowering the possibility of fraudulent activity and illegal access. In order to implement FaceSecure ATM, the ATM system must be equipped with Haar Cascade facial detection technology. A prominent machine learning-based method for object detection is called Haar Cascade, and it's very good at finding faces in photos or video streams. A camera built into the ATM system records the user's face as the transaction is being completed. The user's identity is then confirmed and identified by using the Haar Cascade algorithm on the processed acquired facial image. The transaction is completed if the identified face corresponds to the pre-registered face linked to the A TM user's account. In the event that this occurs, only authorized users are able to complete transactions because access to the ATM functionalities is blocked. The problem findings of the existing system are Conventional A TM security features, such PINs and cards, are vulnerable to skimming, shoulder surfing, and theft, which can result in fraudulent transactions and unauthorized access. Users may find PIN- based authentication systems cumbersome because they have to be memorized and are susceptible to theft or forgetting. An easier-to-use and more convenient substitute is provided by biometric-based authentication systems like facial recognition. Financial institutions can reduce the risks associated with standard au thentication techniques, safeguard user accounts from unwanted access, and improve overall transaction security by incorporating the Haar Cascade algorithm into the ATM infrastructure.