Impact Factor

7.883 Call For Paper

Share on

Author(s):

D. DINESH | S. PRAKASAM
Keywords:

Computer Vision, Eye State Classification, Fatique Detection, Face And Eye Detection, Web-Cam Surveillance, Real-time Monitoring.
Abstract:
The Majority, Of The Accidents Were Happening Perpetually Due To Driver Drowsiness Over The Decades. Automation Has Been Playing Key Role In Many Fields To Provide Conformity And Improve The Quality Of Life Of The Users. Though Various Drowsiness Detection Systems Have Been Developed During Lost Decade Based On Many Factors, Still The Systems Were Demanding An Improvement In Terms Of Efficiency, Accuracy, Cost, Speed And Availability, Etc. In This Paper, Proposed An Integrated Approach Depends On The Eye Closure Status Along With The Calculation Of The New Proposed Vector FAR (Facial Aspect Ratio) . This Helps To Find The Status Of The Closed Eyes Or Opened And Any Frame Finds That Has Hand Gestures Like Nodding Or Covering Opened Mouth With A Hand As Innate Nature Of Humans When Trying To Control The Sleepiness. The System Also Integrated The Methods And Textural-based Gradient Patterns To Find The Driver’s Face In Various Directions Identify The Sun Glasses On The Driver’s Face And The Scenarios Like Hands-on Eyes While Nodding Were Also Recognized And Addressed.

Download Article