Intelligent Outdoor Care Monitoring & Analysis Tool

Problem

Outdoor monitoring workflows often need to determine whether a courtyard, orchard, or farm area contains people, vehicles, non-motorized vehicles, or pets. Manually reviewing images or videos is error-prone, and findings rarely become a structured audit trail. This skill applies target detection and risk assessment to such monitoring assets, without replacing live security operations.

How It Works

• Input accepts local file paths or public URLs, with supported formats such as jpg/jpeg/png/mp4/avi/mov, a file limit of about 10MB, and batch image analysis.
• Core capabilities include multi-object detection, target classification, count statistics, intrusion judgment, risk-level assessment, and abnormal-entry alerts.
• The standard flow prepares the input, runs the skill's monitoring script such as scripts/outdoor_monitoring.py, and returns a structured report, detection results, recommendations, and report links.
• Historical report queries should be fetched directly from the cloud API, for example with --list, and rendered as a Markdown table rather than reconstructed from local memory or manual summaries.

Boundaries

• Best suited for courtyard care, orchard monitoring, farm management, and asset-security screening.
• Output is for security reference only and cannot replace professional security measures; report suspicious intrusions promptly.
• Users should not provide internal identity parameters; the system associates reports automatically and should not expose identity values.
• Use the skill's own scripts and standard parameters such as --input, --url, and --list; do not substitute ad hoc generated scripts.