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 | 
|---|---|
| Subjects: | Computer Science Engineering > Data Mining | 
| Domains: | 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 | 



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