event-rule-engine
CommunityAutomate video surveillance event detection and analysis with LLM visual review.
Product & Management#event analysis#event detection#video surveillance#LLM visual review#urban surveillance
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection and analysis of video surveillance events using frame extraction and LLM (Language Learning Model) visual review, making it easier to process and interpret video monitoring data.
Core Features & Use Cases
- Video Event Detection: Identifies events such as fights, traffic accidents, crowding, illegal parking, smoke/fire, falls, intrusion, and occupancy.
- Frame Extraction & Review: Extracts frames from video and reviews them using LLM for visual analysis.
- Event Mapping: Maps observed patterns to event templates and generates event candidates with evidence.
- Use Case: For a city surveillance system, this Skill can automatically detect events like traffic accidents, and provide evidence frames and time ranges, enabling quick response and analysis.
Quick Start
Run the event rule engine skill with a video file and generate event candidates.
Dependency Matrix
Required Modules
opencv-pythonopencv-python-headlessffmpeg-pythonopenai
Components
scriptsassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: event-rule-engine Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#event-rule-engine Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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