Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang
{"title":"Driver Status Monitoring System with Feedback from Fatigue Detection and Lane Line Detection","authors":"Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang","doi":"10.1109/MCSoC57363.2022.00035","DOIUrl":null,"url":null,"abstract":"Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.","PeriodicalId":150801,"journal":{"name":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSoC57363.2022.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.