4D: A Real-Time Driver Drowsiness Detector Using Deep Learning
There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms have already been published in the literature, with good resul...
Main Authors: | Israt Jahan, K. M. Aslam Uddin, Saydul Akbar Murad, M. Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali, Anupam Kumar Bairagi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/1/235 |
Similar Items
-
A Deep-Learning Approach to Driver Drowsiness Detection
by: Mohammed Imran Basheer Ahmed, et al.
Published: (2023-09-01) -
4D : A real-time driver drowsiness detector using deep learning
by: Jahan, Israt, et al.
Published: (2023) -
Detection of Pneumonia with a Novel CNN-based Approach
by: Ebru Erdem, et al.
Published: (2021-04-01) -
Detection of Driver Dynamics with VGG16 Model
by: Aytekin Alper, et al.
Published: (2022-06-01) -
An approach to privacy-aware image analysis on edge devices using CNNs
by: Bendig Fabian, et al.
Published: (2023-09-01)