智能安全驾驶监测系统设计与实现 |
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引用本文: | 张鸿,吉泉仲,王谆,张卓,欧阳文凯,黄镱.智能安全驾驶监测系统设计与实现[J].计算机测量与控制,2023,31(3):8-14. |
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作者姓名: | 张鸿 吉泉仲 王谆 张卓 欧阳文凯 黄镱 |
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作者单位: | 江苏省常州市河海大学,,,江苏省常州市河海大学,, |
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基金项目: | 国家自然科学基金项目(面上项目,重点项目,重大项目),国家重点基础研究发展计划(973计划) |
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摘 要: | 针对当下发生的交通事故中及大部分是由于驾驶员酒后驾驶、违规驾驶或是突发身体疾病所导致的,设计出一种智能安全驾驶检测系统;系统以树莓派为和核心搭配智能手表、APP、酒精检测模块;系统可以实现监测驾驶员的酒精浓度,驾驶员的违规驾驶行为以及驾驶中的健康状况等功能,并通过移动端APP进行可视化展示;经测验,整个系统能够在驾驶途中稳定的运行,能够满足实时监测驾驶员的驾驶行为以及健康信息的需求。
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关 键 词: | 树莓派 酒精检测 YOLOV5 智能手表 移动端APP 安全驾驶 |
收稿时间: | 2022/6/1 0:00:00 |
修稿时间: | 2022/9/1 0:00:00 |
Design and Implementation ofIntelligent Safe Driving Monitoring System |
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Abstract: | In view of the fact that most of the current traffic accidents are caused by drunk driving, illegal driving or sudden physical illness, an intelligent safe driving detection system is designed; the system uses Raspberry Pi as the core with intelligent Watch, APP, alcohol detection module; the system can monitor the driver"s alcohol concentration, the driver"s illegal driving behavior, and the driving health status, etc., and display it visually through the mobile APP; after testing, the entire system can be used in driving. The stable operation on the way can meet the needs of real-time monitoring of the driver"s driving behavior and health information. |
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Keywords: | Raspberry Pi alcohol detection YOLOV5 smart watch mobile APP safe driving |
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