Design and Creation of Custom Internet of Things (Iot) Device for Analysis of Drunk and Drowsy Driver Detection
Prakhar Jain1, Yeshveer Singh Yadav2, Nilay Khare3
1Prakhar Jain*, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
2Yeshveer Singh, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
3Nilay Khare, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Manuscript received on March 30, 2020. | Revised Manuscript received on April 05, 2020. | Manuscript published on April 30, 2020. | PP: 1382-1386 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8696049420/2020©BEIESP | DOI: 10.35940/ijeat.D8696.049420
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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: Road Safety is the most crucial aspect in this modern world as the reckless use of the developed technology i.e. vehicles, is leading to human loss. Safety concerns while driving is of utmost importance in our daily lives. It might lead to the loss of lives of even innocent people and loss of property. The evolution of the Internet of Things (IoT) and the continuing increase in the number of sensors connected to the Internet has led to development of various application in our day to day life. Thus, automation in road safety using IoT can help to reduction as well as prevention of accidents. Accuracy is important when it comes to road safety and one must always strive to achieve the highest accuracy, provided there is no trade off’ with inexcusable time. Most of the road accidents are caused due to drowsiness or drunk driving. This paper deals with the design and testing of drunk and sleep-deprived driver detection device. This paper presents a low-cost effective method for drowsiness detection and proposes a method to detect whether the driver is drunk or not. Finally, it lays off a way to communicate with emergency help services. It deals with the design and testing of drunk and drowsy driver detection device.
Keywords: Drunk Detection, Internet of Things (IoT), Road Safety, Sleep Detection, Simple Mail Transfer Protocol (SMTP).