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Deep Learning System for Real-Time Face Analysis

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16987263

Author: Mahmoud Najmeh

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7078381052

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