疲劳监控系统是一款基于机器视觉技术的驾驶辅助预警系统。系统利用摄像头采集到的驾驶员的面部图像，采用数字信号处理器进行实时分析，通过疲劳算法检测驾驶员的疲劳及注意力分散等不安全状态，及时发出预警信息，最大程度地避免由于疲劳驾驶引起的交通危险情况。
The fatigue monitoring system is a driving assistance warning system based on machine vision technology. The system utilizes facial images of drivers captured by cameras and uses a digital signal processor for real-time analysis. Through fatigue algorithms, unsafe states such as fatigue and distraction are detected, and warning messages are issued in a timely manner to minimize traffic hazards caused by fatigue driving.
● 摄像头：
用于采集驾驶员的面部图像，并将采集到的面部图像输出给控制器进行处理；
内置补光LED，用于确保在低照度情况下（夜晚/进入山洞等）摄像头对驾驶员面部图像的有效采集。
● Camera:
Used to collect facial images of drivers and output the collected facial images to the controller for processing;
Built in fill LED to ensure effective capture of driver’s facial images by the camera in low light conditions (night/entering caves, etc.).
● 控制器：
对采集的驾驶员面部图像进行图像处理，进行疲劳状态判别指标的计算，确保在复杂道路环境下识别结果的可靠性；
输出摄像头采集的视频信息；
向CAN总线发送驾驶员疲劳驾驶信息。
● Controller:
Perform image processing on the collected driver’s facial images, calculate fatigue status discrimination indicators, and ensure the reliability of recognition results in complex road environments;
Output video information collected by the camera;
Send driver fatigue driving information to the CAN bus.
驾驶员行为监测系统由2 路摄像头一个主机组成，一路摄像头布置于驾驶室左侧A 柱，主要采集驾驶员脸部范围图像，用于人脸识别、驾驶员分神提醒、打哈欠、抽烟、打电话等不良驾驶行为报警；另一路摄像头布置于驾驶室左上方，主要采集安全带、方向盘、驾驶员双手、副驾驶员信息等，用于双手脱离方向盘、未系安全带、行驶时玩手机不良驾驶行为的监测及驾驶舱的监控。
The driver behavior monitoring system consists of two cameras and one host, with one camera arranged in the A-pillar on the left side of the cab. It mainly collects images of the driver’s facial area for facial recognition, driver distraction reminders, yawning, smoking, phone calls, and other adverse driving behavior alarms; The other camera is located in the upper left corner of the driver’s cab, mainly collecting information on the seat belt, steering wheel, driver’s hands, co pilot, etc. It is used for monitoring bad driving behavior when both hands are off the steering wheel, not wearing the seat belt, playing with mobile phones while driving, and monitoring the cockpit.