Deep Learning System for Real-Time Face Analysis

This paper introduces a real-time face analysis system that combines convolutional neural networks (CNNs) with clustering methods to predict multiple human facial attributes simultaneously. Unlike conventional single-task models, the proposed framework integrates gender classification, beard detection, and unsupervised eye and skin color recognition into a unified system.