Authentication with face recognition and sign language using ESP32-CAM

Abstract

Authentication is the confirmation of the accuracy of the data piece that any institution, person or system accepts as correct. Many methods are used for the authentication process. Some of these are the methods using biometric data such as face authentication, fingerprint authentication, and iris authentication. In this article, the way to create a secure system using face recognition and sign language as an authentication method is discussed and an application using ESP32-CAM is developed and tested. The results show that secure authentication cannot be achieved with facial recognition and sign language. The developed system is low cost and easy to implement. With this system, authentication can be done without requiring any physical contact, and it can be used for personal security and entrance and exit. Sign language, which is frequently used by hearing-impaired individuals, can play an active role as authentication. With low-cost modules such as ESP32, it will be an alternative to authentication in almost every environment.