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Homesec - Coggle Diagram
Homesec
PROBLEM / OPPORTUNITY
Many homes lack intelligent, real-time identity verification
Existing CCTV systems only record and require manual monitoring
No affordable face-recognition-based security for Philippine households
Unauthorized access goes undetected without automated alerts
Growing need for remote home monitoring via mobile devices
OBJECTIVES
Provide automated push notifications for unauthorized access events
Implement face registration and authorized user management
Build a mobile app for real-time alerts and remote monitoring
Design an IoT monitoring device with Raspberry Pi 4 and camera module
Develop a face recognition alarm system using LBPH algorithm via OpenCV
FEATURES
Safety Features
Alarm triggering
Secure Mode arm/disarm
Unauthorized face alert
Low-light detection
App Features
Live camera feed
Notification history
Face registration
Registered users list
Visitor Mode
IoT Features
Continuous camera streaming,
Automatic alarm trigger
Real-time face recognition
Firebase data sync
Admin Features
Family member management
Detection analytics dashboard
Export access log (PDF/CSV)
METHODOLOGY
Agile Methodology
Planning
Design
Development
Testing
Evaluation
Iteration
Target Users / Beneficiaries
Homeowners
Families with live-in help
Small business owners
Rental property landlords
Expected Output
Working face recognition IoT device
Flutter mobile app
Firebase-integrated alert system
Registered face database
COMPONENTS
Hardware
Raspberry Pi 4
Camera Module,
Buzzer/Alarm
WiFi Module
Smartphone
Software
Flutter/Dart (mobile app)
Python (local processing)
OpenCV + LBPH (face recognition)
Firebase (cloud backend)