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Design and Implementation of a Drowsiness-Fatigue-Detection System Based on Wearable Smart Glasses to Increase Road Safety

机译:基于可穿戴智能眼镜的疲劳疲劳检测系统的设计与实现

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摘要

This paper proposes a drowsiness-fatigue-detection system based on wearable smart glasses to increase road safety. The proposed system is composed of a pair of wearable smart glasses, an in-vehicle infotainment telematics platform, an on-board diagnostics-II-based automotive diagnostic bridge, an active vehicle rear light alert mechanism, and a cloud-based management platform. A dedicated miniature bandpass infrared (IR) light sensor is also proposed and implemented for the low-cost, lightweight, wearable smart glasses, which can provide a higher signal-to-noise ratio than a general commercial IR light sensor, minimize the ambient environmental light image, and efficiently increase the accuracy of detection. The proposed system can detect the status of the vehicle driver with respect to drowsiness or fatigue conditions in real time. When drowsiness or fatigue is detected, the active vehicle real light alert mechanism will automatically be flickered to alert following vehicles. The related information will also be concurrently transmitted to a cloud-based management platform. As a result, the proposed system can lead to increased road safety.
机译:本文提出了一种基于可穿戴智能眼镜的疲劳疲劳检测系统,以提高道路安全性。提议的系统由一副可穿戴智能眼镜,车载信息娱乐远程信息处理平台,基于车载诊断II的汽车诊断桥,主动式车辆尾灯警报机制和基于云的管理平台组成。还为低成本,轻巧,可穿戴的智能眼镜提出并实施了专用的微型带通红外(IR)光传感器,该传感器可提供比普通商用红外光传感器更高的信噪比,并最大程度地减少了周围环境光线图像,并有效提高检测精度。所提出的系统可以实时检测车辆驾驶员关于困倦或疲劳状况的状态。当检测到睡意或疲劳时,主动车辆的实时灯光警报机制将自动闪烁以警告后续车辆。相关信息也将同时传输到基于云的管理平台。结果,所提出的系统可以提高道路安全性。

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