LOCATION-BASED LAST JOB RISK ASSESSMENT AND REAL-TIME FALL ALERTS USING GEOFENCING

Falls are among the most frequent and hazardous incidents in the construction industry, presenting significant challenges due to their unpredictability and severe consequences.Beyond fall-related accidents, construction sites face a wide range of other safety hazards, necessitating the adoption of advanced technological solutions.This study introduces two innovative safety technologies leveraging geofencing systems: (1) a smartphone-based alert system for fall hazard zones and (2) a location-based last job risk assessment tailored to specific work areas.The proposed geofencing system utilizes CCTV footage to define fall hazard zones and work areas, automatically triggering and transmitting work risk analysis information to workers' devices upon entry into these zones.This integration enhances safety by providing real-time alerts and up-to-date risk assessments, empowering workers to make informed decisions.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.22260/ccc2025/0009
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

LOCATION-BASED LAST JOB RISK ASSESSMENT AND REAL-TIME FALL ALERTS USING GEOFENCING

Myungjin Chae, Jaeho Cho
Context-Aware Activity Recognition Systems
article

LOCATION-BASED LAST JOB RISK ASSESSMENT AND REAL-TIME FALL ALERTS USING GEOFENCING

Myungjin Chae, Jaeho Cho
article en

Abstract

Falls are among the most frequent and hazardous incidents in the construction industry, presenting significant challenges due to their unpredictability and severe consequences.Beyond fall-related accidents, construction sites face a wide range of other safety hazards, necessitating the adoption of advanced technological solutions.This study introduces two innovative safety technologies leveraging geofencing systems: (1) a smartphone-based alert system for fall hazard zones and (2) a location-based last job risk assessment tailored to specific work areas.The proposed geofencing system utilizes CCTV footage to define fall hazard zones and work areas, automatically triggering and transmitting work risk analysis information to workers' devices upon entry into these zones.This integration enhances safety by providing real-time alerts and up-to-date risk assessments, empowering workers to make informed decisions.

Decent work and economic growth
Openalex Percentile: Top 80%
Context-Aware Activity Recognition Systems
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