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Facelogix

High-performance facial authentication and security platform utilizing advanced facial embedding distance.

RoleML Engineer
Timeline2025
Reading Time1 min read
PythonPyTorchInsightFaceFastAPIRedisSQLite

Context & Problem

Biometric security gates often struggle with static photo bypass attacks or experience network latency lags during peak login times. Facelogix is a high-performance local gateway providing hardware-efficient verification combined with liveness detection.

Architecture

System pipeline layout representing coordination blocks and execution pathways designed for this solution.

CAMERALiveness CheckINSIGHTFACEEmbeddingsREDIS INDEXVector SearchUNLOCK

Implementation

  • Integrated the InsightFace embedding extractor running local PyTorch inference.
  • Implemented real-time liveness detection based on optical flow and face landmark eye-closure indices.
  • Created an in-memory Redis lookup index mapping facial embeddings, bypassing standard database table queries.

Challenges & Trade-offs

CHALLENGE: Bypasses using printed high-resolution photo sheets.

RESOLUTION: Engineered a Fourier transform texture analyzer evaluating frequency details of surface reflection, stopping flat-paper reflection attacks.

Results & Impact

Quantitative metrics and verified outcomes obtained from benchmarks.

99.2%Verification Accuracy
sub-200msGateway Latency
98.9%Liveness Check Precision

© 2026 Faizal Shaikh. All rights reserved.

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Based in Mumbai, India