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  • 标题:Driver Drowsiness Detection Using Deep Learning
  • 本地全文:下载
  • 作者:Rahul Ranjan ; Vijay Kumar A
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:5
  • 页码:821-827
  • DOI:10.35629/5252-0305648652
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Driver Drowsiness is one of the major reasons of Road accidents now a days. In many cases the carelessness of drivers leads to these accidents, as for many drivers it becomes very tough to concentrate on the road while driving for a very long duration, they feels asleep or drowsy . With the advancement of technology in the field of computer vision smart/intelligence cameras are developed to monitor drowsiness in drivers. Also alerting driver with a alarm whenever they feel drowsy .As using this technology reduces the risk of accidents. In this project a new framework is being proposed using deep learning to detect the status of human eye while driving the vehicle. With the help of Inbuilt Deep learning models like Transfer learning we can train our model and classify them based on the results. Also we will use CNN as our Algorithm to get the best accuracy for our model.
  • 关键词:Computer Vision;Deep learning models;Classification model;python libraries;CNN;Transfer Learning
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