Machine Learning Based Driver Distraction Detection

Authors

  • S. Mohan Kumar Dean and Professor, Department of Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, Karnataka, India.
  • T. Kumanan Professor, Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India

Abstract

Distraction is nothing more than a lack of consideration for healthy driving practices. Intended or accidental deviation of the focus from the driver side may be attention. The diversion by drivers can be identified as anything required to detect data for safe and secure control of the car by incidents, people inside or outside the vehicle that may be forced or appear to force the drivers to move their focus from a fundamental driving activity into another spot. The main cause of distraction for drivers is their competitiveness for events which reduce driving performance in road crashes. The solution to the above issue defined in this paper will help minimize the accident by road that is one of the major reasons for the driver's distraction. The driver also assesses whether or not the driver deliberately detects yawning, facial recognition, eye detection and finds whether or not the driver drank an alcoholic. The sensor can be used for alcohol detection. It is planned to ensure the safety of car passengers. For real-time object tracking, the hair cascade algorithm may be used.

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References

Center for disease control and prevention.https://www.cdc.gov/motorvehiclesafety/distracteddriving/

Khan SK, Khan S. Identifying the Drivers of Purchase Intention for Private Label Brands. Preliminary Evidence from Pakistani Consumers. RADS Journal of Social Sciences & Business Management. 2018 Apr 19;5(1):15-37.

Rajeswari T, Nagalakshmi TJ. Prevention of accidents by using eye blinks sensors. Indian Journal of Public Health Research & Development. 2017; 8(4):1160-3.

Y. Abouelnaga, H. M. Eraqi, and M. N. Moustafa. Real-time distracted driver posture classification. CoRR, abs/1706.09498, 2017.

National highway traffic safety administration traffic safety facts : https://www.nhtsa.gov/risky-driving/distracted-driving/

Nagalakshmi TJ. Prevention of Accidents by Using Eye Blink Sensors. Indian Journal of Public Health Research & Development. 2017 Oct 1;8(4).

lEI'IJIH-ill DF. A Review On the Biology and Parasites of the Big-Eye SCAD, SELAR Crumen ophthalmus (Bloch, 1793).

Ramontsha P. An Investigation into Client Attrition at a Professional Services Firm: The Case of a Content Marketing Agency in Cape Town.

Nwohiri AM, Muhammad AB. Vehicle Access Control And Security System: University Of Lagos Security Gate As A Case. Lautech Journal of Engineering and Technology. 2019;13(2):52-9.

Sivasankari SA, Saiteja T. Review of Density Traffic Management Using IOT. Indian Journal of Public Health Research & Development. 2017;8(4):1271-6.

Zhang FL. Small Banks Compositional Strategic Transformation Framework and Implementation Measures Composition-Based View.

Kumar S. Determinants of Customer Loyalty: Evidence from Indonesian Retail Market.

Papineni VR. Evaluation of Business Practice in Contract Research Organizations (CROs) of Selected CROs in Hyderabad.

Wambugu H, Musyoka R. Consumer Behaviour in Regard to Recycling of Green Secondary Packaging in Kenya.

Shahada SA, Hreiji SM, Shamsudheen S. IOT based garbage clearance alert system with GPS location using Arduino. International Journal of MC Square Scientific Research. 2019 Mar 26;11(1):1-8.

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Published

2020-12-24

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Articles