FACE DETECTION AND RECOGNITION SYSTEM USING MACHINE LEARNING AND HAAR CASCADE

Abstract

The major goal of this research study was to provide a solution for detecting and recognizing faces in photos using the OpenCV computer vision package. The primary emphasis of this research was on face detection and identification. The Haar Cascade technique was employed here to recognize faces. The contemporary period has seen major advances in artificial intelligence and machine learning technology, propelling the globe to new heights. Furthermore, many impossible situations that humans may face can be solved with the help of brand new technologies such as artificial intelligence and device learning. Artificial intelligence and system learning have a wide range of applications in various fields such as computer vision and robotics. Data is critical for machine learning, artificial intelligence, and a variety of other activities. To better comprehend artificial intelligence, this study demonstrates its practical application by allowing the unlocking of devices such as cell phones using face recognition. As a consequence, this article provides a complete package that integrates theoretical knowledge with real-world applications of artificial intelligence and machine learning technology.