
Multiview 3D detection system for automotive driving
Author(s) -
S. S. Kumar,
T. Sathish Kumar,
Mukesh Kumar,
Giridhar Subramanian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012046
Subject(s) - buzzer , safe driving , phone , work (physics) , computer science , steering wheel , smart phone , automotive industry , simulation , automotive engineering , computer vision , engineering , alarm , telecommunications , mechanical engineering , linguistics , philosophy , aerospace engineering
For the past few years, there has been an increase in road accidents all over the world. The most common crucial reason is drowsiness. The presented work deals with this problem to reduce the number of accidents while keeping the methodologies simple and intact with the usage of computer vision applications like blink rate, eye closure, yawning. Detection of the driver’s drowsiness is done by a single-camera attached behind the steering wheel and to identify yawning and for alerting the driver, a buzzer is triggered when the eyes are closed and also when the count of yawning is greater than the specific rate. The system will also work even the driver is wearing glasses and it can be implemented with the comfort of a pocket phone.