FACE DETECTION AND ANALYSIS SYSTEM BASED ON ARTIFICIAL INTELLIGENCE (COMPARISON OF HAAR CASCADE AND DEEP LEARNING MODELS)

Abstract

Artificial intelligence has become one of the most important directions of scientific and technological development in recent years. With the help of these technologies, the level of efficiency and automation in various fields is significantly increasing. Face recognition and analysis systems based on artificial intelligence are widely used in modern security, medicine, mobility, and everyday life. Human face recognition is a complex problem, in which various algorithms and approaches are used. The two most common main approaches in this regard are the Haar Cascade and Deep Learning models. This article will cover the principles of operation, advantages and disadvantages of both of these approaches, as well as their role in the development of modern artificial intelligence.