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AI & ML, Computer VisionCompleted
Face Attendance: Kiosk-Based Recognition & Anti-Spoofing
A modular kiosk-based face recognition system for attendance and access control, featuring facial alignment, quality gating, and anti-spoofing mechanisms for near real-time biometric verification.
Key Details
Modular Vision Pipeline: Integrates face detection, 2D similarity transform alignment, and identity matching into a unified flow.
Quality Gate System: Automatically filters frames affected by blur, low contrast, or poor lighting to maintain high embedding accuracy.
Anti-Spoofing Mechanism: Implements verification layers to detect printed or digital attack attempts in various lighting conditions.
High Performance: Optimized to run on limited hardware with a latency of 1-2 seconds from subject detection to result.
Robust Data Processing: Standardizes input via similarity transforms, significantly reducing intra-class variation for stable recognition.
Highlights
- •Biometric pipeline with 93.75% average accuracy
- •Facial Alignment via 2D Similarity Transform
- •Quality Gate filtering for motion & blur
- •100% spoofing detection in optimal lighting
- •Near real-time 1-2s system latency
Technologies
PythonOpenCVInsightFaceMediaPipePyTorchFastAPI