Smart education case: a detection method of the driver's smoking behavior

Yujia Xu; Rui Shi; Deyu Pan; Li Yang; Tingting He; Ling Ding

doi:10.1117/12.3024640

3 April 2024 Smart education case: a detection method of the driver's smoking behavior

Yujia Xu, Rui Shi, Deyu Pan, Li Yang, Tingting He, Ling Ding

Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 1307817 (2024) https://doi.org/10.1117/12.3024640
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China

Abstract

This article presents a case study of our process in Smart Education. This is a case of detecting driver smoking behavior, in which intelligent image processing technology was used. Let students know how to conduct academic research through case analysis. Train students how to do image preprocessing, how to do detection algorithm, how to deal with experimental results, how to do result analysis and so on. Drivers have a kinds of common abnormal behaviors, including smoking, making phone calls, eating, and leaving the steering wheel. Among them, smoking is closely related to the fatigue state of the driver; when drivers make other abnormal behaviors, their hands will leave the steering wheel, which is easy to cause the car to get out of control. Therefore, this paper mainly focuses on the abnormal driving behaviors of smoking and the hands leaving the steering wheel.

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

Citation Download Citation

Yujia Xu, Rui Shi, Deyu Pan, Li Yang, Tingting He, and Ling Ding "Smart education case: a detection method of the driver's smoking behavior", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 1307817 (3 April 2024); https://doi.org/10.1117/12.3024640

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KEYWORDS

Mouth

Detection and tracking algorithms

Object detection

Hough transforms

Evolutionary algorithms

Contour extraction

Video

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