IoT-Based Smart Safety Vest Leveraging Nanoelectronic Wearable Sensors for Real-Time Monitoring of Workers' Physiological and Environmental Conditions with Active Feedback

30 Sept 2026, 11:30
15m
Mawar 1&2, Level 3 (Tenera Hotel & Suites)

Mawar 1&2, Level 3

Tenera Hotel & Suites

Bangi, Selangor, Malaysia
Nanoengineering Session 1C

Speaker

Asif Ali Zamzami (Robotics and AI Engineering, Universitas Airlangga)

Description

Recent advances in nanoelectronic sensing technologies have enabled the development of compact and intelligent wearable systems for occupational safety applications. This paper presents an IoT-based smart safety vest that leverages miniaturized nanoelectronic wearable sensors to continuously monitor workers' physiological and environmental conditions while providing active feedback for early hazard prevention. The proposed system integrates physiological data acquired from a smartwatch with environmental parameters collected through embedded sensing modules installed on the vest. A low-power embedded controller performs real-time data acquisition, processing, and wireless transmission to a cloud-based monitoring platform for centralized supervision. When abnormal physiological conditions or hazardous environmental situations are detected, the system immediately activates active feedback mechanisms, including vibration alerts, audible alarms, and visual indicators, to notify workers and improve situational awareness. Furthermore, the web-based dashboard enables supervisors to monitor workers' health status, environmental conditions, and location information in real time, facilitating rapid decision-making during emergency situations. By combining nanoelectronic wearable sensing, embedded IoT architecture, and intelligent feedback mechanisms, the proposed smart safety vest provides a scalable and practical solution for enhancing occupational safety in construction, manufacturing, mining, and energy industries. The proposed approach also demonstrates the potential of wearable nanoelectronic systems for future smart industrial safety and digital occupational health applications.

Primary author

Asif Ali Zamzami (Robotics and AI Engineering, Universitas Airlangga)

Co-authors

Mr Muhammad Saleh Bagir Alatas (Robotics and AI Engineering, Universitas Airlangga) Mr Abiyyu Pahlevi Syahputra (Electrical Engineering, Institut Teknologi Sumatera) Mr Adil Awal (Automotive Engineering Program, SMK Negeri 1 Maros) Mr Kadek Heri Sanjaya (The Research Center for Smart Mechatronics, Indonesian National Research and Innovation Agency) Mr Yukhi Mustaqim (The Research Center for Smart Mechatronics, Indonesian National Research and Innovation Agency) Mr Bahrudin Bahrudin (The Research Center for Smart Mechatronics, Indonesian National Research and Innovation Agency)

Presentation materials

There are no materials yet.