Open AccessDrowsiness Detection and Rest Stop Suggestion
Author(s) -
R B Sabari Mathavan,
V Rohitram,
C Ashhwath,
P Sasikumar
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 - 10.1088/1742-6596/2115/1/012028
Subject(s) - buzzer , rest (music) , heartbeat , computer science , interface (matter) , computer security , simulation , construct (python library) , alarm , real time computing , engineering , electrical engineering , operating system , acoustics , programming language , physics , bubble , maximum bubble pressure method
In recent years, driving accidents have been increasing gradually, with most of them due to drowsiness. To tackle this problem, various methods and systems were developed to alert the driver behind the wheels, and to prevent accidents. A few approaches include heartbeat monitoring, pulse rate check, blink, and yawn detector. This paper discusses a driver mechanism, which is capable of detecting fatigue in real-time, using the Eye Aspect Ratio – EAR – parameter, and also provides a database with an interface for managers to track drivers. When the driver is tired, an email will also be sent to the manager. On the drivers’ side, there will be a buzzer noise to wake the driver up and nearby resting locations will be shown to the driver. Further, mapping to the nearby resting location of the driver’s choice is shown, if the driver feels too drowsy and feels the need for rest. It is essential to fabricate and construct this complete system via IoT and OpenCV methods to address this issue.