Face Enrollment, Liveness, and Attendance System (FAISS + FaceNet + Amazon APIs) cover

Portfolio

Face Enrollment, Liveness, and Attendance System (FAISS + FaceNet + Amazon APIs)

Enrollment and verification platform that prevents duplicates, validates liveness, and logs auditable attendance at scale.

MuFaw AI Research LabFace RecognitionFAISSFaceNetLivenessAttendance
Face Enrollment, Liveness, and Attendance System (FAISS + FaceNet + Amazon APIs)

Project details

What we delivered

Overview

Enrollment and attendance platform with duplicate prevention and liveness verification.

Designed for high-volume environments with compliance-focused audit trails.

Key Features

- Enrollment flow with duplicate detection to prevent repeated identities.

- Face embeddings via FaceNet with FAISS similarity search.

- Liveness verification using Amazon APIs as primary or secondary checks.

- Hybrid verification when local FaceNet confidence is low.

- Auditable attendance logs with manual override and HR or ERP integration.

Architecture & Tech Stack

- Embeddings: FaceNet models deployed on-prem or in containers.

- Search: FAISS for sub-second nearest-neighbor retrieval.

- Liveness and verification: Amazon Rekognition and Liveness APIs.

- Backend: FastAPI services for enrollment and verification.

- Security: encrypted embedding storage, role-based access, audit trails.

Impact / Outcomes

- Reduced proxy and spoofing attempts with multi-factor liveness checks.

- Delivered low-latency attendance marking with reliable auditability.