Android-Based Application To Detect Drowsiness When Driving Vehicle

Traffic accident could be happened at any time, and most of the time is because the driver feels sleepy when driving a car. Traffic accident could be avoided if the driver aware of vigilance on road condition and situation. Nowadays, there are many development technologies, one of them is object det...

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Bibliographic Details
Published in2019 1st International Conference on Cybernetics and Intelligent System (ICORIS) Vol. 1; pp. 100 - 104
Main Authors Tombeng, Marchel T., Kandow, Hence, Adam, Stenly I., Silitonga, Argha, Korompis, Juve
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Accidents
Android
Cameras
drowsiness detection
Engines
Face
Google
Haar cascade
OpenCV
smartphone
Unified modeling language
Vehicles
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Summary:Traffic accident could be happened at any time, and most of the time is because the driver feels sleepy when driving a car. Traffic accident could be avoided if the driver aware of vigilance on road condition and situation. Nowadays, there are many development technologies, one of them is object detection technology. Object detection technology needs a specific face to be detected. Authors design a drowsiness detection system that will send alert to the driver when the driver feels asleep when driving a car, this can avoids accident. Driver which is the user in this application, if they close their eyes within one second, the sensor which is the front camera in the smartphone will catch and process this event and then trigger the system to give voice alert to the user. In processing the detected image, authors use OpenCV Library. OpenCV Library uses Haar Cascade Classifier for detection images such as eyes and face. Eyes and face will be the target in this system. This application will be implemented on Android Operating System.
ISBN:9781728114729
1728114721
DOI:10.1109/ICORIS.2019.8874905