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LifeBexon - Coggle Diagram
LifeBexon
PROBLEM/OPPORTUNITY
Opportunity for accessible, low-cost elderly care technology
Growing elderly population in the Philippines
Delayed emergency response after a fall
No affordable real-time monitoring available in PH households
Elderly left alone with no supervision
Falls are the leading cause of injury among elderly individuals
OBJECTIVES
Develop a fall detection system using MediaPipe pose estimation
Design an IoT monitoring device with Raspberry Pi and camera module
Build a caregiver mobile app for real-time alerts and monitoring
Implement activity monitoring and detection event logging
Provide an automated emergency notification system
FEATURES
Iot Features
Real-time pose monitoring
Fall detection using MediaPipe
Automatic alert triggering
Continuous camera streaming
App Features
Live camera dashboard
Real-time fall alert notifications
Activity history log
Caregiver account management
Safety Features
Emergency push notification
False alarm filtering
Low-light detection mode
24/7 monitoring mode
Analytics Features
Fall frequency tracking
Health trend monitoring
Daily activity reports
METHODOLOGY
Agile Methodology
Planning
Design
Development
Testing
Evaluation
Iteration
Expected Output
Working fall detection prototype
MediaPipe-based pose estimation system
IoT monitoring device (Raspberry Pi + camera)
Caregiver mobile app
Real-time alert and notification system
Activity log and health dashboard
Target Users / Beneficiaries
Family caregivers
Elderly individuals living alone
Assisted living facilities
Home care professionals
Hospitals and rehabilitation centers
COMPONENTS
Hardware
Raspberry Pi 4
Smartphone (caregiver device)
Camera module
WiFi module
Power supply / battery backup
Optional: PIR motion sensor
Software
Python (local processing)
MediaPipe (pose estimation)
OpenCV (image processing)
Firebase (cloud backend)
Flutter / Dart (mobile app)
TensorFlow Lite (optional optimization)