The aim of this paper is to develop a face recognition system using OpenCV that can accurately detect and recognize individuals even when they are wearing masks. The paper focuses on integrating mask detection with face recognition algorithms to overcome the challenges posed by masks, ultimately enabling reliable identification and verification in scenarios where mask usage is prevalent. Face recognition is a widely used technology with various applications in security, surveillance, and identity verification systems. However, the emergence of face masks, particularly during the COVID-19 pandemic, poses a challenge to accurate face recognition. This project focuses on developing a face recognition system using OpenCV, capable of detecting faces and recognizing individuals even when they are wearing masks.