CONSTRUCTION PLOT LABOUR’S SAFETY AND ACTIVITY MANAGEMENT SYSTEM

The construction industry is highly labor-intensive and often fraught with risks due to hazardous conditions. Ensuring worker safety and efficient monitoring is essential to prevent accidents, improve productivity, and meet regulations. This paper proposes a smart safety and activity monitoring system using IoT sensors, wearable devices, and real-time analytics to track workers' vital signs, movements, and locations, promoting a safer and more efficient work environment[1]. KEYWORDS — IOT (INTERNET OF THINGS), DNN (DEEP NEURAL NETWORK), IOU (INTERSECTION OVER UNION)

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-30
DOI
https://doi.org/10.55041/ijsrem40374
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

CONSTRUCTION PLOT LABOUR’S SAFETY AND ACTIVITY MANAGEMENT SYSTEM

G. Shanmuga Priya, A Prajwal, S Bhoomika, H S Spurthi et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Occupational Health and Safety Research
article

CONSTRUCTION PLOT LABOUR’S SAFETY AND ACTIVITY MANAGEMENT SYSTEM

G. Shanmuga Priya, A Prajwal, S Bhoomika, H S Spurthi, Shivanand Maradi
article en

Abstract

The construction industry is highly labor-intensive and often fraught with risks due to hazardous conditions. Ensuring worker safety and efficient monitoring is essential to prevent accidents, improve productivity, and meet regulations. This paper proposes a smart safety and activity monitoring system using IoT sensors, wearable devices, and real-time analytics to track workers' vital signs, movements, and locations, promoting a safer and more efficient work environment[1]. KEYWORDS — IOT (INTERNET OF THINGS), DNN (DEEP NEURAL NETWORK), IOU (INTERSECTION OVER UNION)

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Decent work and economic growth
Openalex Percentile: Top 63%
Occupational Health and Safety Research
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