Design and Implementation of a Driving Behavior Monitoring System Based on Artificial Intelligence
Keywords:
Artificial Intelligence, Driving Behavior Monitoring, Machine Learning, Computer Vision, Road SafetyAbstract
Aiming at the problems of monitoring and analyzing driving behaviors in current road safety, a driving behavior monitoring system based on artificial intelligence is proposed. This system integrates machine learning and computer vision technologies, aiming to identify and analyze drivers’ behavior patterns in real time for predicting and preventing potential traffic accidents. By using data from on-vehicle cameras and various sensors, the system adopts deep learning algorithms for efficient data processing, achieving precise analysis of complex driving environments and behaviors. Experimental results show that this system demonstrates high accuracy and reliability in detecting dangerous behaviors such as speeding, sudden braking, and distracted driving. Generally speaking, this research not only promotes the application of artificial intelligence technology in the field of traffic safety but also provides strong technical support for future driving behavior monitoring and traffic accident prevention.
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Copyright (c) 2026 Hui Xiong, Zhiming Zhang
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