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SOTA deep learning application that revolutionises user authentication using password and facial recognition. Built on the powerful DeepFace library, it leverages advanced models like MTCNN for robust face detection and FaceNet for high-precision facial verification

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MvMukesh/visage_auth

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🕸 Visage Auth 🕸

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A multi-domain MFA systems for High Security


Visag.auth app is a multi-factor authentication (MFA) systems that require both password login and face recognition for authentication. - These types of systems are highly secure and can be applied across various domains where security and user authentication are critical

By incorporating both password login and face recognition, this system exemplifies a Knowledge-Driven Decision Support System (DSS)

  • It leverages expert knowledge and complex decision-making rules to provide a secure and reliable authentication mechanism
  • This multi-factor approach enhances security and ensures that only authorized users gain access to the system

Decision Support Systems(DSS) are vital tools that combine data, analytical models and user-friendly interfaces to support complex decision-making processes

  • They are used across various industries to improve efficiency, enhance collaboration, and ultimately lead to better, data-driven decisions

👉 General 2FA Working


⚙️ System Architecture ⚙⚡

  • Top Box: Represents a simpler scenario where a Single user registers and uses system on their own device
  • Bottom Box: Represents a more complex scenario where Multiple users can register and use system from different devices

⚙️ System Architecture Diagram - HLD ⚙⚡

system_architecture_diag


                        

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SOTA deep learning application that revolutionises user authentication using password and facial recognition. Built on the powerful DeepFace library, it leverages advanced models like MTCNN for robust face detection and FaceNet for high-precision facial verification

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