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Facial Analysis of Individuals
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Author(s): Pranali Dhawas (G.H. Raisoni College of Engineering, India), Pranali Faye (Suryodaya College of Engineering and Technology, India), Komal Sharma (G.H. Raisoni College of Engineering, India), Saundarya Raut (G.H. Raisoni College of Engineering, India), Ashwini Kukade (G.H. Raisoni College of Engineering, India)and Mangala Madankar (G.H. Raisoni College of Engineering, India)
Copyright: 2025
Pages: 40
Source title:
Modern Advancements in Surveillance Systems and Technologies
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)
DOI: 10.4018/979-8-3693-6996-8.ch006
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Abstract
Facial analysis technology has become a pivotal component in modern surveillance systems, offering unparalleled capabilities in identifying and monitoring individuals in various settings. This chapter delves into the multifaceted aspects of facial analysis, exploring the latest advancements in facial recognition, emotion detection, and behavioral analysis. We examine the underlying algorithms, including deep learning and convolutional neural networks, which have significantly enhanced the accuracy and efficiency of facial analysis systems. Furthermore, we discuss the practical applications of these technologies in security, law enforcement, and commercial sectors, highlighting their impact on enhancing safety and operational efficiency. Ethical considerations and privacy concerns are also addressed, providing a comprehensive overview of the balance between technological progress and the protection of individual rights. By integrating case studies and real-world examples, this chapter offers a thorough understanding of how facial analysis is shaping the future of surveillance.
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