Facial identification from real data, photo capture, sensor images, and database images are challenging tasks because of the wide variety of face looks, illumination effects, and intricate image backdrops. Face recognition is one of the most practical and modern applications of image processing and biometric systems. We describe face recognition methods and algorithms that have been created by several researchers in the fields of image processing and pattern recognition utilizing HAAR and OpenCV in this paper. This essay will also discuss the face recognition system's use of this technology and how it differs from alternative methods in terms of effectiveness. Therefore, a general review of face detection studies and systems that rely on various methodologies and algorithms is included in this research. We implemented a complete face recognition system by integrating the best option for each step. With training and without training, it achieves superior performance on every category of the test. The tools which are required for completing the system are a Camera, Microphone, RFID, and Pin Generator. This research study also analyses the performance of various approaches and algorithms in addition to the strengths and weaknesses of these literature studies and systems.