IoT based Contactless ATM using Computer Vision

In the realm of modern banking, contactless Automated Teller Machines (ATMs) are heralding a new era of convenience and security for customers. This research study introduces an advanced iteration of contactless ATMs, leveraging cutting-edge technologies like OpenCV for hand gesture recognition and Raspberry Pi for deployment, along with robust security measures. By incorporating database storage for account numbers and PIN (Personal Identification Number) numbers, along with enhanced security features such as PIN validation, limited attempts, and facial recognition for unauthorized access, this system aims to provide a comprehensive and secure banking experience. The deployment on a Raspberry Pi not only ensures cost-effectiveness but also facilitates efficient implementation in various settings.