Stephen Raj .S , Sripriya. P, Stephen Raj .S , Sripriya. P (2018) Accident Prevention Eye Tiredness Detection Using Image Mining. International Journal of Mechanical and Production Engineering Research and Development, 8 (2). pp. 363-368. ISSN 2249-6890
Full text not available from this repository. (Request a copy)Abstract
Driver exhaustion is the majority frequent reason for the deadly highway accident around the earth. This shows that in the motor vehicle industry, particularly, anywhere a driver of a serious motor vehicle is frequently uncovered to hours of dull driving which causes exhaustion, lacking normal rest time. Appropriate to the normal frequency of driver exhaustion, this has become a part of huge public financial anxiety. Accordingly, a road accident avoidance structure by detecting driver’s tiredness, which gauge the point of driver’s inattentiveness and present a caution while a possible danger exists, have usually a huge deal of concentration as a gauge to stop an accident, cause by driver’s inattentiveness. In this article, driver’s tiredness detection structure is using the eyeball detection, so that highway accidents can be avoided productively.
Item Type: | Article |
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Subjects: | Computer Science Engineering > Data Mining |
Divisions: | Computer Applications |
Depositing User: | Mr IR Admin |
Date Deposited: | 30 Sep 2024 05:48 |
Last Modified: | 30 Sep 2024 05:48 |
URI: | https://ir.vistas.ac.in/id/eprint/7583 |