Advanced Driver Assistance System for the drowsiness detection using facial landmarks

被引：3
作者：
Sinche Cueva, Luis Dario [1 ]
Cordero, Jorge [1 ]
机构：
[1] Univ Tecn Particular Loja, Dept Ciencias Comp, Loja, Ecuador
来源：
2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020) | 2020年
关键词：
Facial landmark; Computer vision; Drowsiness Detection;
D O I：
10.23919/cisti49556.2020.9140893
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the development of a solution to detect a driver's drowsiness in real time and issue alerts to avoid possible traffic accidents. In particular, an analysis of the methods used for the detection of drowsiness by computer vision is performed, focusing on the use of facial reference points. Distraction, drowsiness, tiredness, speeding and fatigue are the main causes of accidents and, precisely, advanced driver assistance systems ADAS help reduce these serious human errors.
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页数：4
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