{"title":"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","authors":"Richard Feng, Jonathan Sahagun","doi":"10.5121/csit.2023.131502","DOIUrl":null,"url":null,"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.","PeriodicalId":138164,"journal":{"name":"Advances in Computing & Information Technologies","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi\",\"authors\":\"Richard Feng, Jonathan Sahagun\",\"doi\":\"10.5121/csit.2023.131502\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":138164,\"journal\":{\"name\":\"Advances in Computing & Information Technologies\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Computing & Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2023.131502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computing & Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2023.131502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.