Gomathy, B (2024) Artificial Intelligence-Based Drowsiness Detection. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). pp. 1-5.
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Abstract
The physical and psychological demands of driving need the highest level of focus, making it the most dangerous employment. The spectrum of accidents related to tiredness in the modern era is complicated. Determining whether driver fatigue plays a role in accidents and the degree of physical and psychological discomfort that the drivers experienced is a difficult task without a tried-and-true method. Hence automatic drowsiness detection has become a major challenge froma research perspective. In this research, drowsiness detection has been implemented using Artificial Intelligence (AI). The method is derived by combining information from the image and data/log to provide a capable process for detecting sleepiness. This is supported by testing using many drivers with diverse environments to make the perfect method.
Item Type: | Article |
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Subjects: | A Artificial Intelligence and Data Science > Artificial intelligence C Computer Science and Engineering > Health Care, Disease |
Divisions: | Computer Science and Engineering |
Depositing User: | Dr Krishnamurthy V |
Date Deposited: | 10 Jun 2025 03:15 |
Last Modified: | 10 Jun 2025 03:15 |
URI: | https://ir.psgitech.ac.in/id/eprint/1439 |