Research on vehicle anti-fatigue driving detection system based on artificial intelligence

Long Luo

doi:10.1117/12.3026958

8 April 2024 Research on vehicle anti-fatigue driving detection system based on artificial intelligence

Long Luo

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904Y (2024) https://doi.org/10.1117/12.3026958
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In recent years, frequent traffic accidents have brought a lot of losses to the society. Traffic accidents caused by tired driving are increasing year by year. For large car drivers, fatigue driving is affecting their personal safety. Therefore, many scholars have conducted a lot of research on the detection of tired driving. This paper proposes an optimization algorithm of face target detection based on CNN. Combined with ResNet network, CNN object detection model is improved as the driver face detection architecture. Then, the open-source Data set WIDERFACE (Face Detection Data Setand Benchmark) is used to train the face target detection model. Compared with similar existing target detection algorithms, the proposed algorithm has higher recognition accuracy, simplified network structure and less computation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Long Luo "Research on vehicle anti-fatigue driving detection system based on artificial intelligence", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904Y (8 April 2024); https://doi.org/10.1117/12.3026958

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