利用疲劳驾驶监测模块进行汽车主动安全提醒

Using Fatigue Driving Monitoring Module to Car Active Safety Reminder

在真正的自动驾驶技术到来之前,我们需要有更多的主动安全配置来让驾驶员避免出现疲劳驾驶等危险行为。由于近些年的科技进步,安卓等优质的操作系统可以在低成本的硬件解决方案上运行,camera的成本降低让基于视频识别的各种解决方案可以落地,甚至得到推广应用的可能。在人脸识别领域,有成熟的Adaboost可以调用,有国内开源的算法可以借鉴,目前已经有了很高的识别能力。在这个基础上,我的项目重点挖掘眼部状态分析,在结合之前的知识储备,通过一整套可执行的方案来得到数据。通过大量的测试,也直接验证了其实际算法和人体的感官一致。基于该项目的研究,通过电脑运算,实现行车过程中出现的疲劳驾驶情况进行主动报警。

Before real autopilot technology arrives,we need to have more active safety configurations to avoid dangerous behaviors such as fatigue driving.Thanks to advances in technology in recent years,high quality operating systems such as Android can run on low-cost hardware solutions,and camera's cost reduction has allowed various solutions based on video recognition to land,and even to be promoted.In the field of face recognition,there is a mature Adabost that can be called,and there are domestic open source algorithms that can be used for reference.Currently,there is a high recognition capability.On this basis,my project focuses on mining eye state analysis,combining the previous knowledge reserves to obtain data through a set of executable solutions.Through a large number of tests,it also directly verified that the actual algorithm is consistent with the human body's senses.Based on the research of this project,the fatigue driving situation in the process of driving is actively alerted through computer calculation.