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.
Authors
- Afandi Ahmad (ORCID: https://orcid.org/0000-0002-6189-682X)
- Sritama Roy (ORCID: https://orcid.org/0000-0002-8090-1460)
Institutions
- Vellore Institute of Technology University (IN)
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