Fuell: Artificial Intelligence and camera-based driver drowsiness detection and warning system

**_Fuell--人工智能和基于摄像头的驾驶员昏昏欲睡检测和警告系统_**驾驶疲劳是全球杀手，造成数十亿美元的时间、效率和保险成本和生命。Fuell的目标是开发一种基于生理检测的疲劳管理系统，使用车载摄像头或司机的智能手机摄像头来检测嗜睡的开始，并警告司机采取行动。该项目将建立在现有的基于Fuell算法的系统基础上，该系统使用Garmin智能手表上的光体积描记(PPG)传感器得出的心率变异性(HRV)来持续测量疲劳，并在可能的睡眠事件发生前20分钟向司机发出警告。_该项目将使用摄像头，如标准的面向司机的驾驶室摄像头或智能手机摄像头，来检测生命体征与当前基于可穿戴的Fuell系统的精确度相匹配。最重要的是，这将通过降低系统每个驾驶员的成本使其更容易商业化。_在这个项目中，我们将利用现有的rPPG知识并采用Fuell算法来创建一个系统，该系统将以商业上可利用的成本提供昏昏欲睡的检测。Fuell疲劳管理系统最终将适用于操作员疲劳对安全、效率和健康产生影响的任何部门，而不仅仅是驾驶员。工作人员疲劳是一个全球性问题，Fuell疲劳管理系统将在世界范围内适用。

**_Fuell -- Artificial Intelligence and camera-based driver drowsiness detection and warning system_**Driver fatigue is a global killer, costing billions in lost time, efficiency, insurance costs and lives.Fuell's objective is to develop a fatigue management system based on physiological detection using an in vehicle camera or a driver's smartphone camera that detects the onset of drowsiness and warns drivers to take action.This project will build on an existing Fuell algorithm-based system that uses Heart Rate Variability (HRV) derived from the Photoplethysmography (PPG) sensor on a Garmin smartwatch to continuously measure fatigue and warn the driver up to 20 minutes in advance of a likely sleep event._This project will use a camera, such as a standard driver-facing in-cab camera or a smart phone camera, to detect vital signs, matching the accuracy of the current wearable-based Fuell system. Critically, this will make it more readily commercial by reducing the cost per driver of the system._In this project, we will take existing rPPG knowledge and adapt Fuell algorithms to create a system that will deliver the detection of drowsiness at a commercially exploitable cost.The Fuell fatigue management system will ultimately apply to any sector where operator fatigue can have an impact on safety, efficiency and health, not just drivers.Worker fatigue is a global problem and the Fuell fatigue management system will be applicable world-wide.