Abstract
The research presents the design and implementation of an embedded system for monitoring and enhancing driver safety using a combination of health and environmental sensors, along with location and communication modules. The system integrates a heartbeat sensor, sweat sensor, ultrasonic sensor, GPS, and GSM module to provide real-time monitoring and alerts. The heartbeat sensor and sweat sensor track the driver’s physiological conditions, detecting signs of stress or health issues. The ultrasonic sensor monitors the vehicle’s surroundings to prevent collisions. The GPS module tracks the vehicle’s location, and the GSM module enables communication with a central server and the emergency contacts. This system aims to improve driver safety by providing real-time health monitoring, environmental awareness, and emergency response capabilities, representing a significant advancement in the integration of embedded systems and IoT technologies in automotive safety applications.
References
- Mohammed, Karrouchi, Messaoudi Abdelhafid, Kassmi Kamal, Nasri Ismail, and Atmane Ilias. "Intelligent driver monitoring system: An Internet of Things-based system for tracking and identifying the driving behavior." Computer Standards & Interfaces 84 (2023): 103704.
- Kumari, B. M., Sampada Sethi, P. Ramakanth Kumar, Nishant Kumar, and Atulit Shankar. "Driver Drowsiness Detection System Using Sensors." Journal of Computational and Theoretical Nanoscience 15, no. 11-12 (2018): 3261-3265.
- 3. Dr. Gayathri Monicka, Roahith Kumar And Mohamed Hafiz Khan, “Vehicle Safety, Security Monitoring And Tracking Device Using Arduino” International Research Journal of Engineering and Technology 10(5). 1801-1807
- Sinthia, P., M. Malathi, and K. Priyadharsini. "Sensor based health monitoring and controlling of vehicle using IoT." Materials Today: Proceedings 45 (2021): 2908-2911.
- Biswal, Anil Kumar, Debabrata Singh, Binod Kumar Pattanayak, Debabrata Samanta, and Ming-Hour Yang. "IoT‐based smart alert system for drowsy driver detection." Wireless communications and mobile computing 2021, no. 1 (2021): 6627217.
- Dasgupta, Anirban, Daleef Rahman, and Aurobinda Routray. "A smartphone-based drowsiness detection and warning system for automotive drivers." IEEE transactions on intelligent transportation systems 20, no. 11 (2018): 4045-4054.
- Mohanty, Shruti, Shruti V. Hegde, Supriya Prasad, and J. Manikandan. "Design of real-time drowsiness detection system using dlib." In 2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), IEEE, 2019. 1-4.
- Vanitha, N. Suthanthira, J. Karthikeyan, G. Kavitha, and K. Radhika. "Modelling of intelligent transportation system for human safety using IoT." Materials Today: Proceedings 33 (2020): 4026-4029.
- Htwe, Thin Thin, and Kyaw Kyaw Hlaing. "Arduino based tracking system using GPS and GSM." International Journal for Advance Research and Development 4, no. 8 (2019): 11-15.
- San Hlaing, Ni Ni, Ma Naing, and San San Naing. "GPS and GSM based vehicle tracking system." International Journal of Trend in Scientific Research and Development (IJTSRD) 3, no. 4 (2019): 271-275.
- Salunke, Supriya A., Vitthal B. Jagtap, and Avinash D. Harale. "Vehicle tracking system for school bus by Arduino." International Research Journal of Engineering and Technology 4, no. 03 (2017): 2179-2185.