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    System Overview

    • AI surveillance tool
    • Crowd surveillance
    • Rule-based event detection
    • People attribution recognition
    • Identification and human behavior recognition
    • Machine learning algorithm
    • Video surveillance search engine

    Crowd Surveillance

    • People counting
    • Line counting – crossing a specific point
    • Pass counting – entering/leaving a specific point
    • 88% accuracy
    • 95% accuracy after re-configuration

    Rules-Based Detection

    • Person intrusion
    • Person tailgating
    • Loitering
    • Crowd alert
    • Reverse movement
    • Abandoned item

    People Attribution Identification

    • Gender (male/female)
    • Long/short hair
    • Wearing/not wearing glasses
    • Wearing/not wearing hat
    • Wearing/not wearing t-shirt
    • Wearing long/short sleeves
    • Wearing/not wearing jeans
    • Wearing/not wearing shorts
    • Wearing long/short pants
    • Wearing clothes with pattern/without pattern
    • Other customized attributes (optional)
    • Maximum accuracy over 90%

    Human Behavior Recognition

    • Person falling
    • Waving
    • Banging head
    • Kicking towards wall/door
    • Fighting
    • Other customizable actions

    Video Search Engine

    • Natural language
    • Real-time video search engine
    • Algorithmic deep learning tools
    • Every nanosecond of video searchable
    • Recognizes objects, colors, people, vehicles, animals and more

    Technical Features

    • Support video input from IP camera, USB camera, and video file.
    • Support scheduling of analysis
    • Automatic detection and alert of camera tampering and video quality deterioration
    • Supports real-time mosaic insertion over person for privacy protection
    • Capable of operating in adverse environments such as low light, rain, snow and clouds

    System Applications

    • Crowd monitoring at events
    • Security surveillance at premise for automatic intrusion detection and alarm
    • Queue monitoring
    • Crowd flow monitoring at transport terminals (airport, bus-stop, metro station)
    • Abnormality detection and alarm in public space, such as loitering, abandoned item, fighting, crowd gathering

    Zunch Labs Marketplace