Cloud-Based Facial Recognition System Architecture Using AWS Services: A Comprehensive Analysis

Here the research is related to facial recognition architecture which is based on Amazon Web Services (AWS) environment. AWS services such as S3 for picture storage, Lambda for serverless computing, Amazon Rekognition for face data analysis, and DynamoDB for metadata management are all combined in this design. The architecture handles real-time face identification, autonomous image processing, and storage scalability, in contrast to conventional facial recognition systems. The system's cross-cutting data protection, efficient serverless design, and secure IAM setups provide strong performance and user privacy. The technology, which is primarily intended for enterprise applications, successfully streamlines face identification and recognition while adding a contemporary touch to image processing. This solution demonstrates how cloud technologies can revolutionize face recognition operations by utilizing many AWS best practices, guaranteeing scalability, security, and higher accuracy levels.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11018989
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud-Based Facial Recognition System Architecture Using AWS Services: A Comprehensive Analysis

Afandi Ahmad, Sritama Roy
Face recognition and analysis
article

Cloud-Based Facial Recognition System Architecture Using AWS Services: A Comprehensive Analysis

Afandi Ahmad, Sritama Roy
article en

Abstract

Here the research is related to facial recognition architecture which is based on Amazon Web Services (AWS) environment. AWS services such as S3 for picture storage, Lambda for serverless computing, Amazon Rekognition for face data analysis, and DynamoDB for metadata management are all combined in this design. The architecture handles real-time face identification, autonomous image processing, and storage scalability, in contrast to conventional facial recognition systems. The system's cross-cutting data protection, efficient serverless design, and secure IAM setups provide strong performance and user privacy. The technology, which is primarily intended for enterprise applications, successfully streamlines face identification and recognition while adding a contemporary touch to image processing. This solution demonstrates how cloud technologies can revolutionize face recognition operations by utilizing many AWS best practices, guaranteeing scalability, security, and higher accuracy levels.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 89%
Face recognition and analysis
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