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.
Thenmozhi et al. (2026) studied this question.