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Face detection is a form of biometric technique in which a computerized device detects a person's face by looking at it. It's a widely used feature in biometrics, digital cameras, and social media tagging. Face detection and recognition has gotten a lot of attention in recent years. We investigated various approaches to face detection in this paper and implemented them using the MATLAB programme. Face Detection, Face Recognition, Biometrics, Open Cv, AI, Python, Pandas are some of the terms used in this paper. The aim of this paper is to compare and difference different face detection and recognition techniques to give a total answer for picture based face detection and recognition that is more precise and has a higher reaction rate as an initial phase in video observation. The proposed arrangement depends on outcomes from tests led on different face-rich data sets as far as points, pose, emotions, race, and light.