Design of Driver Fatigue Driving Monitoring System
Abstract
fatigue driving detection systems generally have problems such as inaccuracy, interference with driver operations, and high costs. This design
proposes a Raspberry Pi-based face recognition fatigue driving detection system using OpenCV. It utilizes image processing-related technologies to extract the driver's facial features in real-time. After preprocessing the collected images, the fatigue state is judged using the 68-point
facial keypoint model from the Dlib library. Based on the driver's fatigue level, it can issue corresponding warnings in a graded manner, such
as light alarms, sound alarms, and window opening operations, to remind the driver to stop and rest or keep awake.
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DOI: http://dx.doi.org/10.70711/aitr.v2i12.8085
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