Driver Fatigue Detection and Visual Awareness Application

Authors

  • Vuggepalli Vishnu Student, Department of Computer Science and Engineering, Geethanjali College of Engineering and Technology, Hyderabad, India
  • Preeti Prasada Assistant Professor, Department of Computer Science and Engineering, Geethanjali College of Engineering and Technology, Hyderabad, India
  • Vellanki Kavya Praneetha Student, Department of Computer Science and Engineering, Geethanjali College of Engineering and Technology, Hyderabad, India

Keywords:

data acquisition, face landmark marking, image processing, data science, machine learning

Abstract

Accidents are a censorious disease suffered by this society, Although the swamping rise of the vehicular industry has become a boon for the human livelihood, the industry also bought many factors of physical disruption. The factors for these disruptions are as follows Driver’s incapability of surrounding awareness, Driver’s Drowsiness, Safety measures produced by the manufacturer. The study examines the driver’s state of consciousness and it gradually decreases the response time to either avoid the risk or mitigate it. The vehicle might not be in a place to identify the driver’s expressions which becomes harder in conditions favorable to have an accident. The main aim of this research is to create an application which will predict when the user is subjective to fatigue and let’s the manufacturers to add features which can prevent human made discrepancies such as accidents.

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Published

01-11-2021

Issue

Section

Articles

How to Cite

[1]
V. Vishnu, P. Prasada, and V. K. Praneetha, “Driver Fatigue Detection and Visual Awareness Application”, IJRESM, vol. 4, no. 10, pp. 152–153, Nov. 2021, Accessed: Nov. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1470