Authors :
Neeraj R.; Karthik H. Kamat; Deekshitha P.; Akshata V. Balvadgi; P. Balaji Chakravarthy
Volume/Issue :
Volume 11 - 2026, Issue 7 - July
Google Scholar :
https://tinyurl.com/5n7apjnf
Scribd :
https://tinyurl.com/94ah29yr
DOI :
https://doi.org/10.38124/ijisrt/26jul299
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
he Safety Helmet enhances construction worker safety through multiple sensors and microcontroller-based
monitoring. A Hall-effect sensor ensures helmet strap fastening, an infrared (IR) obstacle avoidance sensor detects nearby
hazards, force-sensitive resistor (FSR)sensors measure impacts and helmet wear, and a GPS module enables worker location
tracking. Raspberry Pi Pico W processes data in real time, triggering buzzer alerts under unsafe conditions. A Wi-Fi access
point provides a web interface with live GPS coordinates and Google Maps links. The hardware is implemented using lowcost, readily available components, making the system suitable for cost-sensitive construction sites.
Keywords :
Smart Helmet, Construction Safety, IoT, Raspberry Pi Pico W, Multi-Sensor System, Hazard Detection.
References :
- Raspberry Pi Ltd., “Raspberry Pi Pico W Documentation.”[Online]. Available: https://www.raspberrypi.com/documentation/microcontrollers/, accessed Dec. 2025.
- D. Mohanapriya, S. K. Kabilesh, J. Nandhini, S. Sagayaraj, G. Kalaiarasi, and B. Saritha, “IoT-Enabled Smart Helmet for Site Workers,” in Intelligent Sustainable Systems, LectureNotes in Networks and Systems,vol. 458, Springer, 2022.
- I.Campero-Jurado,S.Ma´rquez-Sa´nchez,J.Quintanar-Go´mez, S. Rodr´ıguez, and J. M. Corchado, “Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence,”Sensors,vol.20,no. 21, Nov. 2020.
- V.Jayasreeetal.,“IOT Based Smart Helmet for ConstructionWorkers,”in IEEE Conference Proceedings, 2020.
- M. Ahmed et al., “Towards Providing Safer Construction Work Sites,”in IEEE Conference Proceedings, 2024.
- S. Karna et al., “IoT based Smart Helmet for Automated and Multiparametric Health Monitoring of Coal Mine Workers,” in IEEE Conference Proceedings, 2022.
- S. Rajkumar et al., “Transforming Workplace Safety: The Intelligent Helmet,” in IEEE Conference Proceedings, 2024.
- A. Ahmedetal.,“SmartHelmetwithRearViewandAccidentDetectionSyste m,” in IEEE Conference Proceedings, 2022.
he Safety Helmet enhances construction worker safety through multiple sensors and microcontroller-based
monitoring. A Hall-effect sensor ensures helmet strap fastening, an infrared (IR) obstacle avoidance sensor detects nearby
hazards, force-sensitive resistor (FSR)sensors measure impacts and helmet wear, and a GPS module enables worker location
tracking. Raspberry Pi Pico W processes data in real time, triggering buzzer alerts under unsafe conditions. A Wi-Fi access
point provides a web interface with live GPS coordinates and Google Maps links. The hardware is implemented using lowcost, readily available components, making the system suitable for cost-sensitive construction sites.
Keywords :
Smart Helmet, Construction Safety, IoT, Raspberry Pi Pico W, Multi-Sensor System, Hazard Detection.