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

Richard Feng, Jonathan Sahagun
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引用次数: 0

摘要

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