International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Multifaceted Driver Fatigue Prediction Using Human Face Morphology Processing Technology

Author(s) S.Indhumathy, K.Maheshwari, S.Sharmila
Country India
Abstract This paper presents a proposal for the development of a vehicle guard and alarm system using biometric authentication based on Facial recognition system. And also, extent the framework to predict the drowsiness based on eye features monitoring.
Keywords Driver drowsiness detection, Deep learning, Facial features, Face recognition, Transportation system.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-10-11
Cite This Multifaceted Driver Fatigue Prediction Using Human Face Morphology Processing Technology - S.Indhumathy, K.Maheshwari, S.Sharmila - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.7393
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.7393
Short DOI https://doi.org/gsv6jj

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