A Serverless Facial Recognition Framework For Secured Authentication Environment

Facial recognition and authentication have become critical technologies, transforming security and user verification landscapes across diverse industries. This paper presents the compelling synergy between these innovative tools and the cloud-based solutions offered by Amazon Web Services (AWS). We delve into how AWS empowers developers to seamlessly integrate facial recognition and authentication into their applications, with a specific focus on the pivotal role of AWS Lambda. By leveraging Lambda’s serverless architecture, developers can build highly scalable and efficient systems while bypassing the complexities of traditional server management. This paper unlocks the potential of AWS for facial recognition and authentication, highlighting its benefits for enhanced security, improved user experience, and streamlined development processes.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icdici62993.2024.10810893
Citations
4
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
1.00
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A Serverless Facial Recognition Framework For Secured Authentication Environment

G Logeswari, T Shruthi, Sanjay K. Bose, N Maheswaran et al.
4 citations
Face recognition and analysis
1.00
article

A Serverless Facial Recognition Framework For Secured Authentication Environment

G Logeswari, T Shruthi, Sanjay K. Bose, N Maheswaran, G Gokulraj, G Vijayaraj
article en
4 citations

Abstract

Facial recognition and authentication have become critical technologies, transforming security and user verification landscapes across diverse industries. This paper presents the compelling synergy between these innovative tools and the cloud-based solutions offered by Amazon Web Services (AWS). We delve into how AWS empowers developers to seamlessly integrate facial recognition and authentication into their applications, with a specific focus on the pivotal role of AWS Lambda. By leveraging Lambda’s serverless architecture, developers can build highly scalable and efficient systems while bypassing the complexities of traditional server management. This paper unlocks the potential of AWS for facial recognition and authentication, highlighting its benefits for enhanced security, improved user experience, and streamlined development processes.

Anna University, Chennai (IN)
Reduced inequalities
Openalex Percentile: Top 21%
Face recognition and analysis
1.00
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A Serverless Facial Recognition Framework For Secured Authentication Environment — G Logeswari, T Shruthi, et al. · (2024) | TGRS Research Map | TGRS