Face Recognition Check in System

Facial recognition technology represents a significant technological advancement with a wide range of potential applications. It offers a unique value proposition that spans various sectors, including cybersecurity, the military, and industrial use. This biometric technology focuses on identity verification by recognizing a person's facial features intuitively. The system enables seamless collection and processing of facial images through recognition equipment. This research explores facial recognition from different perspectives, with an emphasis on its practical applications as a tool for enhancing software security across multiple industries. It also outlines the development stages of facial recognition and its related technologies. Furthermore, the study delves into the real-world applications of facial recognition, examining how the technology has evolved and been utilized in contemporary scenarios. It also reviews general evaluation methods used to assess the effectiveness of facial recognition systems, while advocating for continued development due to its increasing practical use and smooth integration into modern software solutions. The focus of this research is on artificial intelligencepowered automatic face detection and recognition. It analyzes the specific challenges and applications of face recognition within the field of AI. Initially, the research provides an overview of the development of face biometric detection and location technology in China, as well as the current state of research in the country. It then investigates the advantages and technical challenges of intelligent facial recognition systems. Based on this analysis, the study discusses the primary application areas of intelligent facial recognition technology in education, security, and daily life.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icetas62372.2024.11119939
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Face Recognition Check in System

Afizan Azman, Raja Kumar Murugesan, Zahrah A. Almusaylim, Du Shanni
Face and Expression Recognition
article

Face Recognition Check in System

Afizan Azman, Raja Kumar Murugesan, Zahrah A. Almusaylim, Du Shanni
article en

Abstract

Facial recognition technology represents a significant technological advancement with a wide range of potential applications. It offers a unique value proposition that spans various sectors, including cybersecurity, the military, and industrial use. This biometric technology focuses on identity verification by recognizing a person's facial features intuitively. The system enables seamless collection and processing of facial images through recognition equipment. This research explores facial recognition from different perspectives, with an emphasis on its practical applications as a tool for enhancing software security across multiple industries. It also outlines the development stages of facial recognition and its related technologies. Furthermore, the study delves into the real-world applications of facial recognition, examining how the technology has evolved and been utilized in contemporary scenarios. It also reviews general evaluation methods used to assess the effectiveness of facial recognition systems, while advocating for continued development due to its increasing practical use and smooth integration into modern software solutions. The focus of this research is on artificial intelligencepowered automatic face detection and recognition. It analyzes the specific challenges and applications of face recognition within the field of AI. Initially, the research provides an overview of the development of face biometric detection and location technology in China, as well as the current state of research in the country. It then investigates the advantages and technical challenges of intelligent facial recognition systems. Based on this analysis, the study discusses the primary application areas of intelligent facial recognition technology in education, security, and daily life.

King Abdulaziz City for Science and Technology (SA), Taylor's University (MY)
Openalex Percentile: Top 69%
Face and Expression Recognition
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