Case study
Face Recognition Attendance System
Real-time CNN attendance pipeline optimized for low-latency concurrency.
CNNOpenCVPythonConcurrency
Problem
Legacy attendance tools struggled with real-time video and concurrent users.
Approach
Designed a CNN-based pipeline with optimized inference and concurrency-safe request handling.
Security considerations
Implemented input validation, rate limiting, and access control for biometric workflows.
Results
Handled 100+ users with latency reduced from 2s to 200ms under concurrency.
100+ users2s -> 200ms
Tech stack
CNNOpenCVPythonConcurrency
What I'd improve next
Add liveness detection and privacy-preserving embeddings storage.