Biometric Attendance
Contactless Facial Recognition Logger with 128D Deep Embeddings
Technical Blueprint
ArchitectureSystems & Security
Release Year2025
Deployment StatusComplete
Core Technologies4 Libraries / Tools
Technologies Deployed
Project Architecture & Overview
Fast, standalone face recognition attendance logger. Deploys OpenCV Haar Cascades for rapid frontal face acquisition and deep neural network embeddings for identity verification, writing time-stamped attendance logs to a local ACID SQLite database.
Key Engineering Milestones
- ✦Automatic student identity logging within 150ms of camera detection
- ✦Confidence score verification preventing false duplicate attendance
- ✦Direct CSV export and SQLite relational schema with automated date indexing
- ✦Runs locally with 0 external network connection required
