A Machine Learning Approach to Driver Alertness

Registration ID: IJNRD_215153

Published ID: IJNRD2403160

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Potnuru Siddhardha, N Mahesh, Adari Kusumalatha , Nodagala Prudvi Yadav , Atkuri Sri Laxmi Kavya

Eye moment detection, Machine Learning, Face Detection, Python, Open CV, Keras, Alarm, Eye blinking.

Nowadays the Road Accidents are very Rapidly happening . There may be many Reasons behind this . The Drowsiness is one of the most common reason for this accidents . So we are Doing a real time project regarding this drowsiness . Our main aim is to alert the driver who is falling into the drowsiness . So here We uses the machine learning approach for our project . We uses the components like open cv , keras, pygame Etc. We’ve developed the project using Convolutional neural networks(CNN). So as a part of the project we are giving a default score in the form of Grayscale . Whenever the driver closes the eyes for more than the default score period then it’ll buzzers an alarm to alert the driver . This whole process can be done by using python programming language .

Published Paper   E-Certificate

Potnuru Siddhardha, N Mahesh, Adari Kusumalatha , Nodagala Prudvi Yadav , & Atkuri Sri Laxmi Kavya (March-2024). A Machine Learning Approach to Driver Alertness. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b535-b539. https://ijnrd.org/papers/IJNRD2403160.pdf

Volume 9 Issue 3, March-2024

Pages : b535-b539

Paper Reg. ID: IJNRD_215153

Published Paper Id: IJNRD2403160

Downloads: 000122255

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: VISAKHAPATNAM, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403160.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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