Design and Implementation of a Highway Surveillance Video AI Analysis System

This article aims to design a highway monitoring system based on artificial intelligence (AI) from highway surveillance videos, which is used for monitoring highway littering, detecting pedestrian or non-motorized vehicle intrusions, and monitoring traffic accidents. By employing advanced deep learn...

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Bibliographic Details
Published in2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL) pp. 949 - 954
Main Authors Hu, Lin, Mao, Mingzhi, Cao, Birong
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.04.2024
Subjects
Accuracy
artificial intelligence
Computer vision
Deep learning
highway event
highway monitoring
Road transportation
Systems architecture
Traffic control
Video analysis
Video surveillance
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Summary:This article aims to design a highway monitoring system based on artificial intelligence (AI) from highway surveillance videos, which is used for monitoring highway littering, detecting pedestrian or non-motorized vehicle intrusions, and monitoring traffic accidents. By employing advanced deep learning algorithms in conjunction with computer vision technology, an efficient intelligent monitoring system capable of stable operation under various weather and lighting conditions has been developed. Through real-time analysis of live video streams, the system can detect traffic incidents and issue timely alerts when abnormal behaviors occur. Experimental results demonstrate that the system can accurately identify different types of vehicles and traffic incidents, exhibiting high accuracy in traffic incident detection. The findings suggest that the highway intelligent monitoring system based on video AI can improve traffic management efficiency and effectively assist in traffic safety control.
DOI:10.1109/CVIDL62147.2024.10603833