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Iot Based Health and Alcohol Monitoring and Safety Control System

Author

Listed:
  • Sadhu Prasanth

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

  • G. Murali krishna

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

  • M. Kishore

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

  • K. Jagannadham

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

  • B. Bhaskararao

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

  • P. Sravan kumar

    (Assistant professor, Department of Mechanical Engineering, Satya Institute of Technology and Management Vizianagaram Andhra Pradesh, India.)

Abstract

This paper presents the design and implementation of an Internet of Things (IoT)-based Health and Alcohol Monitoring and Safety Control System aimed at enhancing safety in industrial, transportation, and other safety-critical environments. Accidents caused by alcohol consumption and abnormal health conditions pose significant risks, while traditional monitoring methods are often manual, inefficient, and lack real-time capabilities. The proposed system integrates multiple sensors, including an MQ-3 alcohol sensor, heart rate sensor, blood pressure sensor, and DS18B20 temperature sensor, to continuously monitor physiological parameters of individuals. The collected data is processed using an ESP32 microcontroller, which analyzes sensor values and compares them with predefined safety thresholds to determine the user’s fitness for operation. When abnormal conditions are detected, the system activates alert mechanisms such as a buzzer and LCD display notifications, and can restrict access to machinery or workplace environments. Furthermore, the system utilizes Wi-Fi connectivity to transmit real-time data to an IoT cloud platform, enabling remote monitoring, data logging, and safety analysis through web or mobile interfaces.

Suggested Citation

  • Sadhu Prasanth & G. Murali krishna & M. Kishore & K. Jagannadham & B. Bhaskararao & P. Sravan kumar, 2026. "Iot Based Health and Alcohol Monitoring and Safety Control System," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 15(3), pages 357-362, March.
    • Handle: RePEc:bjb:journl:v:15:y:2026:i:3:p:357-362
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