DRIVER DROWSINESS DETECTION OBSERVANCE SYSTEM USING DATA SCIENCE  AND VISUAL BEHAVIOUR

DRIVER DROWSINESS DETECTION OBSERVANCE SYSTEM USING DATA SCIENCE AND VISUAL BEHAVIOUR
Author(s):
V HANUMANTHA RAO, SYED FARZANA, G SIVA SAI, CH UDAY KRISHNA, A MOHAN CHAND RAJU
Keywords:
Data Science, Image processing Technology, Detection of drowsiness, Histogram, Object Gradients.
Abstract
Data science and machine learning technologies were employed to predict a person's health and mood to deliver information that would improve road safety. It's an example of intelligence in action. (AI) technique for teaching system to learn and get better without having to be explicitly programmed. A driver's health can be determined via bioindicators, driving behavior, and facial expressions. Through talk, recent researches on driver sleepiness detection and alarm systems. Other machine learning approaches, such as the adaptable algorithm and the HOR algorithm, are also covered. Here we able to predict the driver’s drowsiness state and give an alert for cause of road accidents.
Article Details
Unique Paper ID: 155164 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 29 - 34
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org