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Neulbom A-EYE Integration System

Uses AI video analytics and IoT data to detect on-site hazards in real time and support rapid response.

Solution

An intelligent safety management system that uses AI video analytics and IoT data to detect on-site hazards in real time and support rapid response

Collects CCTV video and IoT sensor data from construction sites and rental housing in real time, and uses generative AI-based video analytics to automatically detect and analyze hazards such as abnormal worker behavior, heavy equipment risks and fires. An AI-based safety management system that quickly delivers hazard information to managers, enabling proactive response before accidents occur.

Features

Key Features

  • AI video analytics

    AI analyzes CCTV video in real time, recognizing people and equipment and analyzing behavior and surroundings to automatically detect a wide range of hazards

  • Generative AI (VLM)-based risk assessment

    Applies a VLM (Vision Language Model) that analyzes not only objects in the video but also situation and context, recognizing and assessing complex hazards

  • Construction site hazard detection

    Detects major construction site hazards in real time, such as missing hard hats, fallen workers, heavy equipment crush risks, and fire and smoke

  • Residential safety incident detection

    Uses rental housing CCTV to automatically detect incidents in residential areas, such as suspicious individuals, illegal dumping and fires

  • CCTV and IoT data integration

    Links CCTV video with data from measuring instruments and IoT sensors to collect and analyze a wide range of on-site safety information in real time

  • Real-time hazard alerts

    When AI detects a hazard, relevant information is sent to managers in real time to support on-site verification and rapid initial response

Process

Operating procedure

  1. 01

    On-site data collection

    Collects on-site video and safety data in real time through CCTV and IoT sensors

  2. 02

    Real-time AI analysis

    Analyzes people, equipment, behavior and surroundings in real time using AI video analytics and VLM technology

  3. 03

    Hazard detection and assessment

    Automatically identifies hazards and incidents such as abnormal worker behavior, approaching heavy equipment, and fire and smoke based on collected data

  4. 04

    Real-time hazard notification

    Quickly delivers detected hazard information and on-site conditions to managers for immediate verification

  5. 05

    On-site response and accident prevention

    Rapidly carries out necessary safety measures such as on-site checks, work stoppages and evacuation to prevent accidents and limit damage

Benefits

Applications

  • Construction site safety management

    Detects compliance with safety rules and on-site hazards in real time to help prevent industrial accidents.

  • Worker safety management

    Automatically detects worker incidents such as missing hard hats and fallen workers to support rapid response.

  • Heavy equipment safety management

    Analyzes the position and movement of workers and heavy equipment to detect accident risks such as close approach and crushing.

  • Fire and disaster safety management

    Analyzes CCTV video to detect fire, smoke and other incidents early and support rapid initial response.

  • Rental housing safety management

    Detects incidents such as suspicious individuals around housing complexes to help create a safe living environment for residents.

  • Residential environment management

    Detects activities that degrade the residential environment, such as illegal dumping, to support efficient environmental management.

Considering the Neulbom A-EYE Integration System?

Tell us about your site conditions and we will send you a proposed configuration and a rough estimate.