What question did this study set out to answer?

To develop a smart wearable helmet that monitors worker safety and tracks attendance in real-time.

February 8, 2026Open Access

Smart Wear Guardian

PTP. ThenmozhiSaint Joseph's College PTPonekambaram TSaint Joseph's College KPKarthick PSaint Joseph's College

Key Points

To develop a smart wearable helmet that monitors worker safety and tracks attendance in real-time.
Designed a smart wearable helmet with integrated sensors.
Utilized a TinyML model for fall detection and state monitoring.
Implemented RFID technology for attendance and break tracking.
Incorporated environmental sensors for safety monitoring.
The helmet accurately detects falls and idle states using local processing.
Attendance and break times are automatically recorded via RFID.
Environmental sensors enhance safety by monitoring temperature and gas levels.

Abstract

This paper presents a smart wearable helmet for industrial workers that includes real time safety monitoring, behavior and RFID based attendance and break time tracking. The system detects falls, walking and idle states locally on the ESP32 device using a trained TinyML model, without the need for external computation and utilizes the MPU6050 inertial measurement unit for accurate motion sensing, together with tracking attendance and calculating working hours, it also uses the PN532 RFID module to automatically detect and record breaks through RFID tagging. Integrated temperature and gas Sensors improve the safety of the environment.

AI에게 질문

Bookmark

View Full Paper