International Journal on Science and Technology

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Integrating Wearable AI Technology for Construction Worker Safety

Author(s) Aditya Pandit
Country United States
Abstract The construction industry remains among the most hazardous occupational sectors, with persistently high rates of injury and fatality. Traditional safety measures—although widely adopted—often function reactively and fail to anticipate dynamic on-site risks. This paper investigates the role of artificial intelligence (AI)-enabled wearable technologies, including smart helmets, biometric vests, exoskeletons, and fatigue detection systems, in transforming safety practices through real-time monitoring and predictive analytics. These innovations enable continuous assessment of workers' health parameters, early detection of fatigue, and automated safety interventions, thereby facilitating a shift from passive to proactive risk management. Despite their transformative potential, significant barriers, such as ethical concerns regarding biometric data, integration challenges, and high implementation costs, hinder widespread adoption. This paper advocates for further research on enhancing technical reliability, regulatory frameworks, and cost-effectiveness to foster scalable deployment of AI wearables in construction environments.
Keywords Wearable Technology, Construction Safety, Artificial Intelligence, Fatigue Monitoring, Biometric Sensors, Exoskeletons, Occupational Health, Real-Time Risk Assessment
Field Engineering
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-30
Cite This Integrating Wearable AI Technology for Construction Worker Safety - Aditya Pandit - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3154
DOI https://doi.org/10.71097/IJSAT.v16.i1.3154
Short DOI https://doi.org/g899tg
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