Transforming Identity Verification: Cutting-Edge Face Recognition with AI-Powered Computer Vision
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Transforming Identity Verification: Cutting-Edge Face Recognition with AI-Powered Computer Vision
Authors:
Subhasis Kundu
Solution Architecture & Design
Roswell, GA, USA
subhasis.kundu10000@gmail.com
Abstract — This study explored the transformative effects of AI-driven facial recognition technology on identity verification systems. It delves into the recent progress in computer vision and deep learning algorithms, which have greatly improved the accuracy and speed of facial recognition. This study highlights the potential uses of this technology in various fields such as security, finance, and personalized services. It also examines the ethical issues and privacy concerns arising from the widespread adoption of facial recognition. Furthermore, this study addresses the challenges of creating robust systems that can manage diverse populations and environmental conditions. Finally, it outlines future research and development directions for facial recognition technology, stressing the importance of responsible innovation and regulatory frameworks.
Keywords — Face Recognition, Artificial Intelligence, Computer Vision, Identity Verification, Biometrics, Privacy, Security, Deep Learning, Feature Extraction, Multimodal Biometrics.