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Child Hazardous Behavior Recognition Tool

AI Agent Updated 2026.08.29

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About this skill

Problem to Solve

Children at home, in kindergartens, or nurseries may engage in risky actions such as climbing, playing with fire, touching electrical sources, or lingering near windows. Manual monitoring can miss incidents, and generic video summaries do not provide a structured judgment about hazardous behavior. This skill targets surveillance video and turns the result into a reviewable answer: whether hazardous behavior occurred, how often, whether it crossed the alert threshold, and where the report is located.

How It Works

  • Input: local video files or network video URLs; supported formats are mp4/avi/mov, up to 10MB.
  • Analysis: the skill calls the API through scripts/child_dangerous_behavior_recognition_analysis.py and evaluates human skeletal keypoints and behavioral trajectories in the video stream.
  • Alerting: --alert-threshold sets the warning score, defaulting to 0.6; values above the threshold produce an alert.
  • Output: it returns a structured report with risk/recognition results, recommendations, and a report link; history listings are queried from the cloud API via --list and rendered as a Markdown table.

Boundaries and Notes

This skill is an auxiliary safety-monitoring capability, not a replacement for immediate guardian confirmation after an alert. Internal identity handling is performed automatically by the script; users should not be asked to provide or exposed to identity values. Historical reports must be read from the cloud interface rather than local memory or manually summarized records.

Use Cases

  • Childcare security staff review an activity-room clip to confirm climbing or window-hanging risks.
  • A nursery teacher analyzes a morning video for fire, electrical contact, and window danger.
  • A home caregiver uploads a living-room clip to check for power or window hazards.
  • A safety operations analyst queries cloud history reports to summarize incident frequency.

Best For

  • Childcare safety leads who need structured, reviewable reports from activity-room video.
  • Nursery teachers who need quick confirmation of fire, electrical, and window hazards.
  • Home caregivers who need to review camera clips for nearby danger zones and report links.
  • AI integration engineers who need to call scripts and cloud APIs for video analysis and history queries.