In Cabin Driver Health Monitoring and Automated Emergency Response System

  • Unique Paper ID: 203909
  • Volume: 13
  • Issue: 1
  • PageNo: 940-944
  • Abstract:
  • The project involves the development of a comprehensive In-Cabin Health Monitoring System with Automated Emergency Response, utilizing ESP32. The aim is to provide a proactive approach to driver well-being and safety by continuously tracking health parameters and integrating automated vehicle response mechanisms. The system takes in real-time physiological data through a pulse oximeter for blood oxygen saturation and heart rate, a glucose sensor for blood sugar level, and a temperature sensor. The data is read by the ESP32, which is programmed to monitor and analyze the data against preset limits to identify any health abnormalities. In the event of detection of any life threatening or anomalous condition, the system will automatically activate safety mechanisms which include turn on a warning buzzer and hazard lights to alert adjacent drivers and passengers of possible life-threatening emergency. Also, it will turn on the auto-parking feature to guide the vehicle to a safe stop thereby avoiding accidents due to driver incapacitation. The system will also utilize GPS to locate the vehicle and Blynk mobile application to inform the caregiver or emergency contact of the critical condition and location of the vehicle. These alerts will contain detailed information concerning the condition of the vehicle and the vehicle location and help to locate and transport the driver to the nearest hospital as quick as possible to prevent casualties of the critical condition.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{203909,
        author = {Tejas Pandurang Shinde and Snehal Baban Pawar and Krutika Shrikant Shinde and Sakshi Pandurang Takale},
        title = {In Cabin Driver Health Monitoring and Automated Emergency Response System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {940-944},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203909},
        abstract = {The project involves the development of a comprehensive In-Cabin Health Monitoring System with Automated Emergency Response, utilizing ESP32. The aim is to provide a proactive approach to driver well-being and safety by continuously tracking health parameters and integrating automated vehicle response mechanisms. The system takes in real-time physiological data through a pulse oximeter for blood oxygen saturation and heart rate, a glucose sensor for blood sugar level, and a temperature sensor. The data is read by the ESP32, which is programmed to monitor and analyze the data against preset limits to identify any health abnormalities.
In the event of detection of any life threatening or anomalous condition, the system will automatically activate safety mechanisms which include turn on a warning buzzer and hazard lights to alert adjacent drivers and passengers of possible life-threatening emergency. Also, it will turn on the auto-parking feature to guide the vehicle to a safe stop thereby avoiding accidents due to driver incapacitation. The system will also utilize GPS to locate the vehicle and Blynk mobile application to inform the caregiver or emergency contact of the critical condition and location of the vehicle. These alerts will contain detailed information concerning the condition of the vehicle and the vehicle location and help to locate and transport the driver to the nearest hospital as quick as possible to prevent casualties of the critical condition.},
        keywords = {},
        month = {June},
        }

Cite This Article

Shinde, T. P., & Pawar, S. B., & Shinde, K. S., & Takale, S. P. (2026). In Cabin Driver Health Monitoring and Automated Emergency Response System. International Journal of Innovative Research in Technology (IJIRT), 13(1), 940–944.

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