SafeX
AI computer-vision security system for face recognition, camera integration, attendance support and alert workflows.
SafeX is a real-time computer-vision security project focused on identity recognition, camera-based monitoring, attendance integration and educational use. The project explores data registration, model training, optimized recognition modes, alerting and practical deployment with company camera systems.
This project has stopped operating and is now preserved as an academic reference. It is no longer connected to any commercial activity.
Project Highlights
Security event notification and monitoring screen.
Face registration and training data management flow.
Recognition dashboard for camera-based monitoring.
Video & Walkthrough
Timeline
Behind The Project
Overview
SafeX was developed as an applied AI vision system that connects research, training data preparation, recognition algorithms and practical security/attendance workflows.
Problem
Small security deployments need identity recognition and attendance support without a heavy surveillance platform. The main challenge is keeping recognition accurate, fast and practical on normal camera infrastructure.
Approach
The system uses Python, Dlib face encodings, OpenCV processing, registration/training flows, optimized recognition modes, Firebase/Sheets integrations and RTSP/IP camera input.
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