Android-Based Application To Detect Drowsiness When Driving Vehicle

2019 1st International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2019-08-01 DOI:10.1109/ICORIS.2019.8874905

M. Tombeng, Hence Kandow, S. I. Adam, Argha Silitonga, Juve Korompis

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引用次数: 4

Abstract

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.

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基于android的应用程序，以检测睡意时驾驶车辆

交通事故随时都可能发生，大多数时候是因为司机在开车时感到困倦。如果司机对路况和路况保持警惕，就可以避免发生交通事故。目前，有许多开发技术，其中之一是目标检测技术。目标检测技术需要检测特定的人脸。作者设计了一种睡意检测系统，当驾驶员在驾驶过程中感到睡意时，系统会向驾驶员发出警报，从而避免事故的发生。司机，也就是这个应用程序中的用户，如果他们在一秒钟内闭上眼睛，智能手机上的前置摄像头传感器就会捕捉并处理这个事件，然后触发系统向用户发出语音警报。在对检测到的图像进行处理时，作者使用了OpenCV库。OpenCV库使用Haar级联分类器检测图像，如眼睛和脸。眼睛和脸将是这个系统的目标。本应用程序将在Android操作系统上实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 1st International Conference on Cybernetics and Intelligent System (ICORIS)

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