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IoT-based Smart Construction Headgear for Impact Analysis of Fallen Object

Harshal Sonawane, Linoy Ralph, Fahed Shaikh, Ekta Ukey

Abstract


The proposed smart helmet system is a revolutionary solution that can potentially minimize the risks associated with accidents in construction sites. The incorporation of multiple sensors, including heat sensors, ultrasonic sensors, pressure sensors, and accelerometers, can provide real-time monitoring of workers and enable prompt detection and prevention of accidents caused by various factors such as heat stroke, vehicle collision, fainting, and impact. The system's ability to send notifications to the contractor or manager in case of an emergency is a critical feature that can facilitate prompt assistance to workers in distress. The force sensor can detect any fainting episodes, and the system can send an alert message to the manager or contractor immediately to provide timely help to the worker. The accelerometer can measure the impact when an object falls on the helmet, which can be used by medical personnel to assess the extent of injury in case of an accident. This feature can significantly reduce the severity of an accident and potentially save lives. The use of a smart helmet is a cost-effective and practical solution that can enhance the safety of construction sites and minimize the risks associated with the job. In conclusion, the proposed system has the potential to revolutionize the construction industry by improving safety and minimizing the risks associated with accidents in construction sites. By providing continuous monitoring and alerting the relevant personnel in case of an emergency, the system can significantly reduce the accident rate and improve the well-being of construction workers.


Keywords


Internet of things (IoT), sensors, Raspberry Pi, wireless network, monitoring and transmission, accelerometer, impact

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References


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