STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Instrumentation Technology & Innovations Original Research

Implementation of a Smart Helmet for Safety and Monitoring using IoT and Sensor Integration

  1. Sneha Bhauso Nevase Department of Electronics & Telecommunication, Rajgad Dnyanpeeth Technical campus, Pune
  2. Sayali Jaykumar Kasurde Department of Electronics & Telecommunication, Rajgad Dnyanpeeth Technical campus, Pune
  3. Swaranjali Netaji Pathade Department of Electronics & Telecommunication, Rajgad Dnyanpeeth Technical campus, Pune
  4. Sanika Jaywant Maske Department of Electronics & Telecommunication, Rajgad Dnyanpeeth Technical campus, Pune

Abstract

The Smart Helmet is a revolutionary safety helmet that incorporates advanced technology to advanceuser protection, connectivity, and real-time awareness. The helmet, intended for motorcyclists,cyclists, and workers, comes with integral sensors for impact sensing and alcohol level checking, GPS tracking, Bluetooth voice communication, and monitoring of vital signs. The features combine to provide smart accident detection and avoidance, hands-free talk, and real-time location tracking. In case of an accident or dangerous situation, the helmet can send emergency messages via a GSM module, which offers vital support when most needed. The system is constructed based on a microcontroller (e.g., ESP32), which controls data from different sensors and performs communication protocols. Alcohol detection is done using gas sensors that track breath levels when the helmet is being used. In addition, Bluetooth and GPS modules provide turn-by-turn navigation, music streaming, and voice assistant compatibility by seamless integration with smartphones. The research approach consists of literature review, user surveys, prototyping, and system testing for technical feasibility and user-centric design. Through the integration of IoT technologies with real- time monitoring and alert systems, this smart helmet responds to significant safety concerns for riders and workers in dangerous working conditions. It not only enhances situational awareness and communication but also encourages responsive behavior through pro-active feedforward mechanisms. This paper demonstrates the implementation, system design, test results, and future potential of the Smart Helmet as a next- generation safety solution.

Keywords

References (10)

  1. Kumar KC, Motupalli RK. Arduino Uno based Smart Helmet with Protective Bike System Using IoT. Jour of Adv Research in Dynamical & Control Systems. 2020;12(9).
  2. Dubey S, Meghana K, Gupta K, Balaji R. An experimental study on advanced lane changing signal assist technology with smart helmets. Materials Today: Proceedings. 2020 Jan 1;33:4771– 6.
  3. Choi Y, Kim Y. Applications of smart helmet in applied sciences: a systematic review. Applied Sciences. 2021 May 29;11(11):5039.
  4. Khangar D. Smart Helmet Using GSM Module and Ardiuno. International Journal for Research in Applied Science and Engineering Technology. 2023 Jun 30;11(6):1531–5.
  5. Impana HC, Hamsaveni M, Chethana HT. A Review on Smart Helmet for Accident Detection using IOT. EAI Endorsed Transactions on Internet of Things. 2020 Jun 5;5(20):164559.
  6. Tayag MI, De Vigal Capuno ME. Smart motorcycle helmet: Real-time crash detection with emergency notification, tracker and anti-theft system using internet-of-things cloud based technology. International Journal of Computer Science & Information Technology (IJCSIT) Vol. 2019 Aug 5;11.
  7. Palke R, Korde P. Dissolved gas analysis (DGA) to diagnose the internal faults of power transformer by using fuzzy logic method. In2020 International Conference on Communication and Signal Processing (ICCSP) 2020 Jul 28 (pp. 1050–1053). IEEE.
  8. Lee DG, Kim WB, Kim JS, Lim SK, Kong KS. Smart Safety Helmet Using Arduino. The Journal of the Institute of Internet, Broadcasting and Communication. 2019;19(1):77–83.
  9. Kim Y, Choi Y. Smart helmet-based proximity warning system to improve occupational safety on the road using image sensors and artificial intelligence. International journal of environmental research and public health. 2022 Dec 6;19(23):16312.
  10. Jayasree V, Kumari MN. IOT based smart helmets for construction workers. In2020 7th International Conference on Smart Structures and Systems (ICSSS) 2020 Jul 23 (pp. 1–5). IEEE.
Support