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.
Authors
- G Logeswari
- T Shruthi
- Sanjay K. Bose (ORCID: https://orcid.org/0000-0001-6443-1780)
- N Maheswaran
- G Gokulraj
- G Vijayaraj
Institutions
- Anna University, Chennai (IN)
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