Smart Incontinence Status Alert
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Please install @user_bb47e3e3/incontinence-alert-analysis according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
In nursing homes, home care, and infant care, delayed detection of damp clothing or abnormal excretion can increase the risk of skin eczema, diaper rash, and infection. This skill turns camera images or video clips into a reviewable alert workflow.
How It Works
The skill accepts local media files or network URLs and uses visual AI to inspect body-surface and contact-area signals, such as moisture, texture, and regional changes. Key capabilities include:
- Image/video analysis: supports mp4, avi, mov, jpg, png, and jpeg up to 10MB
- Anomaly alerts: generates caregiver reminders when suspicious states are detected
- Structured reports: returns detection results, risk notes, and report links
- Cloud history lookup: --list reads report lists from the cloud API instead of local memory
A typical run provides a clear image or video, executes the skill script, and returns a structured report. Options can target elderly, bedridden, infant, or other, and select real-time or regular-check detection.
Boundaries
The output is a nursing aid, not a substitute for clinical judgment. Access should be limited to authorized caregivers because the data is privacy-sensitive.
Use Cases
- Care staff at a nursing station check hallway camera stills every shift for damp clothing and generate alert records for follow-up.
- Home caregiver uploads infant diaper-area photos after each change, flags moisture or abnormal excretion, and saves the structured report for review.
- Nursing home nurse reviews a surveillance video URL, inspects contact areas of a bedridden patient, triggers alerts, and queries historical reports.
- Care operations lead uses --list to pull cloud incontinence alert reports, filters by date, and audits recent anomaly records for compliance.
Best For
- Nursing home nurse: checks camera images for damp clothing and creates caregiver alerts.
- Home caregiver: uploads infant photos to review diaper-area anomalies and save reports.
- Care operations lead: queries cloud alert history and audits recent incontinence records.
- Health IT engineer: pipes video URLs into the script and consumes structured output.
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