Smart driver monitoring system

被引：6

作者：

Shaily, Shubhi ^{[1
]}

Krishnan, Srikaran ^{[1
]}

Natarajan, Saisriram ^{[1
]}

Periyasamy, Sasikumar ^{[1
]}

机构：

[1] Vellore Inst Technol, Sch Elect Engn, Vellore 632014, Tamil Nadu, India

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2021年 / 80卷 / 17期

关键词：

Machine learning; OBD-II; Raspberry pi; Mobile app; On-board camera; Drowsiness; Fatigue;

D O I：

10.1007/s11042-021-10877-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Driver fatigue and drowsiness is an ever-rising issue that could place a lot of entities at risk. The associated problems are not only dangerous for the driver and the passenger but they pose a negative image on an industry that functions using drivers that work long hours in tough road conditions. In this work, proposed to develop a driver drowsiness detector based on image processing. The system created will work based on vehicle details received from the OBD-II and the camera mounted on the dashboard to monitor the driver. The system is developed with the aim to provide a novel solution to driver drowsiness detection on-board whilst the car is being driven. The mechanism provided is both non-intrusive and involves the use of machine learning that will provide an accurate result that averts the major cause of road-based accidents.

引用

页码：25633 / 25648

页数：16

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