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IEEE/ICACT20210194 Question.1 Questioner: baniyab@gram.edu 2021-02-09 오후 2:24:31	IEEE/ICACT20210194 Answer.1 Answer by Auhor satyabrataaich@gmail.com 2021-02-09 오후 2:24:31
Thank you very much for submitting your research article and welcome to IEEE/ ICACT2021. Can you please explain your contribution in this article?	Thank you for the question.According to the United States National Highway Traffic Safety Administration (NHTSA), the main cause of road fatalities and injuries is distracted drivers. Driver distraction is a specific sort of driver interference on the roadway. In this case, a deep learning-based system can detect and distinguish the source of distractions in real-time, to avoid traffic accidents and make better transport safety. This research attempts to develop the system using transfer learning and fine-tuning methods with different model architectures. Various pre-trained weights were used with fine-tuning to improve accuracy and implemented using Mobile Net, VGG16, and ResNet50 models. Finally, the results illustrate that transfer learning on Mobile Net with frozen layers is the best model out of three models getting 99% (495 out of 500) of accuracy on the test dataset images.

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