Design Mechanism of Intelligent Fatigue Driving Behavior Detection System Based on Machine Vision

An intelligent fatigue-driving detection system was developed utilizing machine vision. In the system, image acquisition, processing, and fatigue feature extraction were integrated to enhance precision and operational efficiency. In image acquisition and processing, it is important to configure strategically in-car cameras and employ sophisticated techniques such as image denoising and enhancement. In the fatigue feature extraction, expression recognition algorithms were used for precise calibration and tracking facial areas, contributing to nuanced driver analysis. In the construction of the fatigue-driving detection system, the platform and tools were developed with a detailed exposition. This system solves the limitations of traditional fatigue detection systems and provides a refined and accurate solution applicable to real-world scenarios. The amalgamation of these elements underscores a holistic and forward-thinking approach to solving challenges associated with fatigue-related incidents in driving scenarios.