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Carenet

Monitor elderly individuals via CCTV with AI fall and bedsore detection.

Updated Aug 29, 2025
Search Tags:#ai monitoring#real-time alerts#elderly care#cctv#fall detection#bedsores#healthcare technology
One-click install
npx skills add https://github.com/iosif2/carenet-cursor --skill carenet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Carenet
Source: https://github.com/iosif2/carenet-cursor/tree/main
Command: npx skills add https://github.com/iosif2/carenet-cursor --skill carenet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for continuous, real-time monitoring of elderly individuals in care facilities or homes, focusing on detecting and alerting for critical events like falls and bedsores.

Core Features & Use Cases

  • Real-time Event Detection: AI-powered detection of falls and potential bedsores using CCTV feeds.
  • Alerting and Notification: Immediate alerts for detected events, with options for status management.
  • CCTV Management: Add, delete, and view CCTV streams for comprehensive monitoring.
  • Bed-Patient Assignment: Link detected beds to specific patients for accurate event tracking.
  • Use Case: A nurse can use this Skill to monitor all patients in a ward via CCTV, receive instant alerts for falls, and quickly assign patients to detected beds for accurate record-keeping.

Quick Start

Use the Carenet skill to view the CCTV streams and manage patient assignments.

Frequently Asked Questions about Carenet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does AI-powered CCTV analysis work for elderly fall detection?▼

AI-powered CCTV analysis for elderly fall detection works by continuously monitoring video streams in real-time to identify sudden movements. This Skill processes these feeds to trigger immediate alerts for detected falls.

How do I add and manage CCTV streams for real-time patient monitoring?▼

You can manage CCTV streams through a web-based interface built with Next.js and Tailwind CSS. The system allows you to add, delete, and view multiple camera feeds to maintain comprehensive real-time patient monitoring across wards.

Can I use this healthcare technology to link detected beds to specific patients?▼

Yes, you can use the bed-patient assignment feature to link detected beds to specific patients. This ensures accurate event tracking for critical alerts like falls and potential bedsores within the monitoring dashboard.

Does this elderly care monitoring system use React Query and Zustand?▼

Yes, the elderly care monitoring interface utilizes React Query and Zustand for state management. These frameworks are combined with Shadcn UI to provide a robust frontend for real-time alerting and CCTV stream management.

What is the best way to receive real-time alerts for potential bedsores in care facilities?▼

The best way to receive real-time alerts for potential bedsores is through AI-powered CCTV analysis. This Skill monitors patient posture via camera feeds and generates immediate notifications when bedsores are suspected.

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