Detecting and Alerting Driver’s Drowsines Using Deep Learning Techniques

Author:

Koreddi Venkatesh,Ramakrishna Sani Siva,Radhika Mondeddu,Farzana Nishat,Anudeep Yarlagadda,Nagamma Rompicharla

Publisher

Springer Nature Singapore

Reference20 articles.

1. Maheswari VU, Aluvalu R, Prasad Kantipudi MVV, Chennam KK, Driver drowsiness prediction based on multiple aspects using image processing techniques

2. Ramzan M, Khan HU, Awan SM, Ismail A, Ilyas M, Mahmood A (2019) A survey on state-of-the-art drowsiness detection techniques. IEEE Access 7:61904–61919. https://doi.org/10.1109/ACCESS.2019.2914373

3. National Crime Records Bureau (NCRB), Ministry of Home Affairs, and Government of India (2021) Accidental deaths and suicides in India [Online]. Available: https://ncrb.gov.in/sites/default/files/ADSI_2020_FULL_REPORT.pdf

4. Nirmala T, Spandana S, RajaRajeswari TS, Pushparani K (2013) Finding the survival rate of a person if ship is drowned in sea by using decision tree model in machine learning. J Int J Grid Distrib Comput. Publication date 2020/12/30

5. Published A Paper In International Journal Of Emerging Technologies and Innovative Research (IJETIR) on “A Survey on Block Chain Applications.” by K Venkatesh, M.Srinivasa Rao in March-2019

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