期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：4
页码：619-625
DOI：10.35629/5252-0304496503
语种：English
出版社：IJAEM JOURNAL
摘要：Drowsy motoring is a consolidation of driving and sleepiness or weariness. It is a major problem in road accidents. Fatal car accidents caused by drowsy driving can be mitigated and prevented with Driver drowsiness detection. In this proposal machine learning is employed to detect drowsiness episodes. It focuses primarily on the state of the eye. The alert signal is spawned from a combination of devices, the Raspberry Pi is teamed up with Raspbian camera and is used to identify the sluggishness of the driver in problem-solving time by tracking the eye blink. The HRV (Heart Rate variability) sensor is used for validating the drowsiness of the driver. The HRV pulse sensor can measure the heart rate by detecting changes in light that passes through it as blood is pumped. This work proposes a model to detect and notify drowsy driving and could naturally reduce the number of road accidents.
