T. Karthika, S. Parasuraman, A. Manimaran, P. Geetha, Selciya Selvan, D. Kumutha
{"title":"车辆自动控制器使用眼睛注视传感器的应用","authors":"T. Karthika, S. Parasuraman, A. Manimaran, P. Geetha, Selciya Selvan, D. Kumutha","doi":"10.21272/jnep.15(3).03018","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":16654,"journal":{"name":"Journal of Nano-and electronic Physics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vehicles Automatic Controller by using the Eye Gaze Sensor Application\",\"authors\":\"T. Karthika, S. Parasuraman, A. Manimaran, P. Geetha, Selciya Selvan, D. Kumutha\",\"doi\":\"10.21272/jnep.15(3).03018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\",\"PeriodicalId\":16654,\"journal\":{\"name\":\"Journal of Nano-and electronic Physics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nano-and electronic Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21272/jnep.15(3).03018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Physics and Astronomy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nano-and electronic Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21272/jnep.15(3).03018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
Vehicles Automatic Controller by using the Eye Gaze Sensor Application
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