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A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio
Research article (Sensors, 2024) · cited 26× · AI/ML
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio
Summary
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio is a scholarly article[1].
Key Facts
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-real-time-embedded-system-for-driver-drowsiness-detection-based-on-visual-analysis-of-the-eyes-and-mouth-using-convolu
MLA“A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-real-time-embedded-system-for-driver-drowsiness-detection-based-on-visual-analysis-of-the-eyes-and-mouth-using-convolu.
BibTeX@misc{4ortxyz_a-real-time-embedded-system-for-driver-drowsiness-detection-based-on-visual-analysis-of-the-eyes-and-mouth-using-convolu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio}}, year = {2026}, url = {https://4ort.xyz/entity/a-real-time-embedded-system-for-driver-drowsiness-detection-based-on-visual-analysis-of-the-eyes-and-mouth-using-convolu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio — https://4ort.xyz/entity/a-real-time-embedded-system-for-driver-drowsiness-detection-based-on-visual-analysis-of-the-eyes-and-mouth-using-convolu (retrieved 2026-05-24)
