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human-detection-analysis

Detect people in monitored regions from video and generate structured reports.

Updated May 18, 2026
Search Tags:#computer vision#security reports#video analytics#human detection#intrusion warning#access monitoring
One-click install
npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill human-detection-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: human-detection-analysis
Source: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/tree/main/skills/human-detection-analysis
Command: npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill human-detection-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the operational burden of manually reviewing video footage by automatically detecting and analyzing human presence in a specified monitored region, enabling timely alerts and traceable detection reports.

Core Features & Use Cases

  • Real-time / video-based human detection: Detects personnel appearing in target areas using computer vision and supports analyzing video streams or video files.
  • Behavioral and security-oriented reporting: Produces structured outputs including human counts, appearance frequency, and intrusion/alert insights for access-control scenarios.
  • Cloud-based history listing: Provides history report lists and report links via cloud API calls when the user requests report history.

Use case example: An office or park security operator uploads a surveillance clip covering the entrance area; the skill generates a structured report and, if abnormal intrusion is detected, provides the corresponding warning signals and event details.

Quick Start

Ask to analyze personnel in a surveillance video by providing the video URL or uploading a video file, and then request a structured human detection analysis report for the target area.

Frequently Asked Questions about human-detection-analysis

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

FAQPage Schema
How do I detect people in a surveillance video for access control monitoring?▼

Yes, this video analytics skill processes network video URLs to detect human presence and generate structured security reports. It analyzes the stream for personnel appearing in specified monitored regions and produces appearance-frequency statistics and intrusion alert insights.

How do I generate an intrusion warning report from uploaded video footage?▼

You generate an intrusion warning report by uploading a surveillance clip or providing a video URL covering the monitored area. The system detects human presence, counts appearances, and outputs structured warning signals with event details if abnormal intrusion is identified.

Can I retrieve historical human detection reports via the cloud API?▼

Yes, you can retrieve historical human detection reports via the cloud API. You must complete the mandatory open-id acquisition flow and use the provided list/export API to perform strict cloud-based history retrieval of past security report lists and links.

Do I need any specific Python packages to run computer vision video analytics for security?▼

Yes, you need the requests package installed to run this computer vision video analytics. This dependency is required to handle the API calls for retrieving open-id tokens and executing the cloud-based history report listing and export functions.

What security reports can I generate for monitoring a specified region in a video?▼

For monitoring a specified region in a video, you can generate security reports containing human counts, appearance-frequency statistics, and intrusion alert insights. These structured outputs support real-world security use cases like park or office entrance access-control monitoring.

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