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AI & Healthcare
Smart Elderly Patient Monitoring Using AI
AI-Powered Smart Elderly Surveillance System
Project Overview
The Smart Elderly Patient Monitoring System is an AI-driven vision-based solution designed specifically for smart elderly care. In this project, elderly patient activities are detected using camera-based monitoring only.
The system monitors patient behavior and identifies specific activities in real-time. It provides continuous surveillance and alert generation for caregivers and medical staff.
Technology
Vision-Language Model (VLM)— For activity understanding
YOLO— For real-time detection
InsightFace— For identifying patients in the environment
Scene Detection— Performed after every 120 frames for improved analysis
Detected Activities
Initially, the system detects the following smart elderly activities:
Eating / drinking meal
Medicine intake
Chest pain behavior
Fall detection
Hardware
CCTV camera for continuous monitoring
Jetson Orin NX Developer Kit for edge-based AI processing
Dashboard Screens
Below are snapshots of our AI-driven Elderly Patient Monitoring Dashboard, designed to provide 24/7 health tracking, instant alerts, and comprehensive patient insights all in one place.
Outcomes & Impact
Enables reliable smart elderly monitoring
Provides continuous and non-intrusive patient surveillance
Improves emergency response for incidents like falls or chest pain
Assists caregivers with real-time alerts and actionable insights
Maintains logs and video evidence for future analysis
Project Info
Client
IGIVU
Category
AI & Healthcare
Key Features
Real-time activity detection for smart elderly monitoring
Scene understanding for contextual awareness
Saving data in CSV log files for record keeping
Generating video clips of detected alerts
Sending alerts to GUI in real time
Remote access login from anywhere
Tech Stack
Vision-Language Model (VLM)YOLOInsightFacePythonPyTorchNVIDIA Jetson Orin NXOpenCV
Tags
AIComputer VisionHealthcareEdge AIReal-time MonitoringSurveillance