An Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi

Richard Feng, Jonathan Sahagun
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Abstract

Distracted driving is an important problem that plagues the world, and is the cause of thousands of deaths in the United States. Distracted driving has cost an estimate of $44.2 billion to the US in damages. A way I can help solve this problem is creating a device that can detect if the driver is distracted. This device contains an Arducam Day n Night 1080p camera, a Raspberry Pi 3, and a buzzer. The device utilizes python and Mediapipe, a library which can locate important landmarks on the driver’s face [1]. During development, I had to face many challenges such as the driver possibly looking down subtlety with their eyes, or the camera being positioned in a weird way. During experimentation, I tested the delay, and accuracy of the device. After 35 trials, the device is accurate around 94%, and the delay is around 9 seconds. Overall, this device can be used by everyone who wants to be kept responsible and alert while driving.
一种基于Media Pipe和树莓派的智能驱动程序警觉性分析和检测设备
分心驾驶是困扰世界的一个重要问题,也是美国数千人死亡的原因。据估计,分心驾驶给美国造成了442亿美元的损失。我能帮助解决这个问题的一个方法是发明一种设备,可以检测司机是否分心。这个设备包含一个Arducam昼夜1080p摄像头,一个树莓派3和一个蜂鸣器。该设备使用python和Mediapipe, Mediapipe是一个库,可以定位驾驶员脸上的重要地标[1]。在开发过程中,我必须面对许多挑战,例如驾驶员可能会用眼睛向下看,或者摄像机的位置很奇怪。在实验过程中,我测试了设备的延迟和准确性。经过35次试验,该设备的准确率约为94%,延迟约为9秒。总的来说,每个想要在驾驶时保持负责任和警觉的人都可以使用这个设备。
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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