Vehicles Automatic Controller by using the Eye Gaze Sensor Application
| Authors | T. Karthika1, S. Parasuraman1, A. Manimaran1, P. Geetha1, Selciya Selvan1, D. Kumutha2 |
| Affiliations |
1Department of ECE, Karpaga Vinayaga College of Engineering and Technology, 603308 Chennai, India 2Department of BME, Karpaga Vinayaga College of Engineering and Technology, 603308 Chennai, India |
| Е-mail | skvijaykumu@gmail.com |
| Issue | Volume 15, Year 2023, Number 3 |
| Dates | Received 17 May 2023; revised manuscript received 14 June 2023; published online 30 June 2023 |
| Citation | T. Karthika, S. Parasuraman, A. Manimaran, et al., J. Nano- Electron. Phys. 15 No 3, 03018 (2023) |
| DOI | https://doi.org/10.21272/jnep.15(3).03018 |
| PACS Number(s) | 07.07.Df |
| Keywords | Eye Blink Sensor, Automatic Braking System, Vehicle accidents, Programming Language. |
| Annotation |
Vehicle accidents have suddenly increased over the years, and several technologies are also being researched to prevent them. The above research work offers ways of an accident prevention system employing an eye blink sensor as well as an automated braking technique to make sure that when fatigue is detected and the driver doesn't respond to the buzzer's warning bell within the permitted time, the Vehicle comes to a slow stop. During the allocated time before circuit design, the vehicle's hazard, warning lights are turned on to warn other drivers, particularly those driving ahead. Thus, the results show that the eye blink sensor is used by the car's accident prevention system once the car has stopped. The Proteus software package and the C++ programming language were utilized to verify that the automated braking system is an effective method for reducing accidents caused by fatigued driving. The design and development of a car collision and accident prevention system, when drowsiness is identified using eye blink sensors is proposed in this research paper. This research work is essential because incorporating this technology into automobiles prevents accidents caused by driving when fatigued. This research work might be improved by more research to increase driver attention by employing wireless technology to inform other cars when the driver is tired rather than using the vehicle's danger warning lights. |
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