Detection of Driver’s Lipothymia
V. Rukkumani1, M. Aakaashe2, V. Aravintha Prasath3, K. Mukilan4
1V. Rukkumani*, Electronics and Instrumentation Engineering, Anna University, Sri Ramakrishna Engineering College, Coimbatore, India.
2M. Aakaashe, Electronics and Instrumentation Engineering, Anna University, Sri Ramakrishna Engineering College, Coimbatore, India.
3V. Aravintha Prasath, Electronics and Instrumentation Engineering, Anna University, Sri Ramakrishna Engineering College, Coimbatore, India.
4K. Mukilan, Electronics and Instrumentation Engineering, Anna University, Sri Ramakrishna Engineering College, Coimbatore, India.
Manuscript received on July 11, 2019. | Revised Manuscript received on August 25, 2019. | Manuscript published on August 30, 2019. | PP: 4749-4754 | Volume-8 Issue-6, August 2019. | Retrieval Number: E7296068519/2019©BEIESP | DOI: 10.35940/ijeat.E7296.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Health care systems are becoming very popular and are in demand extensively in recent years. Health care systems are almost in all the fields. In recent years, the vehicles are manufactured in large number. So, the road accidents also came into screen. Road accidents occurs mainly due to the over speed and unconsciousness of the driver during driving. By continuously monitoring the sleepiness of the driver, the alert can be given to the driver at right time to prevent the accidents. In this project, the sensitive electrode are placed on the head of the drivers in the eco-friendly manner (i.e. inside the band). So that, it will be eco-friendly to the drivers to use and it is the most easier to use. It will be wirelessly connected to the microprocessor, which will check the driver’s sleepiness and the logs will be uploaded to the web. In recent years, Wi-Fi are in use in all the buses. So, all the passengers connected to the Wi-Fi are able to see the driver’s sleepiness sate without any network connection by local Wi-Fi sharing features. Here, Microprocessor is connected to the Wi-Fi will act as a server. In case, if driver slept, passengers connected to the Wi-Fi will get an alert and the driver also get an alert to prevent the accidents. The alert may be a vibrating mechanism which will be fitted in the driver’s seat (or) the sound that will wake up the driver from sleep without disturbing the passenger.
Keywords: Health Care, Data Acquisition, Monitoring, Diagnostic Analysis, Sleep Monitoring, Cloud Storage, Alert.