智能安全驾驶监测系统设计与实现
2023,31(3):8-14
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。
关键词：树莓派;酒精检测;YOLOV5;智能手表;移动端APP;安全驾驶
Design and Implementation ofIntelligent Safe Driving Monitoring System
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.
Key words：Raspberry Pi; alcohol detection; YOLOV5; smart watch; mobile APP; safe driving
收稿日期：2022-06-01
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）
