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Information Journal Paper

Title

Driver Distraction and Drowsiness Detection Based Image processing and Deep Learning Methods

Author(s)

HASHEMI MARYAM | mirrashid Alireza | Beheshti Shirazi Seyed Aliasghar | Issue Writer Certificate 

Pages

  1-14

Abstract

 This project presents a novel approach and a new dataset for the problem of Driver Drowsiness and distraction detection. Lack of an available and accurate eye dataset strongly feels in the area of eye closure detection. Therefore, a new comprehensive dataset is proposed, and a study on Driver distraction of the road is provided to supply safety for the Drivers. An artificial network is also designed in such a way that two goals of real-time application, including high accuracy and fastness, are considered simultaneously. The main purposes of this project are as follows: Estimation of Driver head direction for distraction detection, introduce a new comprehensive dataset to detect eye closure, and also, presentation of three networks in which one of them is a Fully Designed Neural Network (FD-NN) and others use Transfer Learning with VGG16 and VGG19 with extra designed layers (TL-VGG). The experimental results show the high accuracy and low computational complexity of the estimations and the ability of the proposed networks on Drowsiness detection.

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  • Cite

    APA: Copy

    HASHEMI, MARYAM, mirrashid, Alireza, & Beheshti Shirazi, Seyed Aliasghar. (2020). Driver Distraction and Drowsiness Detection Based Image processing and Deep Learning Methods. INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING, 1(1 ), 1-14. SID. https://sid.ir/paper/392621/en

    Vancouver: Copy

    HASHEMI MARYAM, mirrashid Alireza, Beheshti Shirazi Seyed Aliasghar. Driver Distraction and Drowsiness Detection Based Image processing and Deep Learning Methods. INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING[Internet]. 2020;1(1 ):1-14. Available from: https://sid.ir/paper/392621/en

    IEEE: Copy

    MARYAM HASHEMI, Alireza mirrashid, and Seyed Aliasghar Beheshti Shirazi, “Driver Distraction and Drowsiness Detection Based Image processing and Deep Learning Methods,” INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING, vol. 1, no. 1 , pp. 1–14, 2020, [Online]. Available: https://sid.ir/paper/392621/en

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