Implementación de un sistema piloto para la detección de cansancio en conductores mediante Machine Learning.

Fatigue in drivers has become a significant issue in terms of road safety. To address the car accidents caused by microsleep episodes, facial and body detection methods are employed using machine learning-based tools, allowing constant monitoring of facial expressions and body movements to generate...

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Detalles Bibliográficos
Autores principales:	Guarnizo Rengifo, Cristian David, Cortes Silvestre, Danilo
Otros Autores:	Orjuela Vargas, Sergio Alejandro
Formato:	Trabajo de grado (Pregrado y/o Especialización)
Lenguaje:	spa
Publicado:	Universidad Antonio Nariño 2024
Materias:	machine learning jetson tx2 sistema piloto pilot system
Acceso en línea:	http://repositorio.uan.edu.co/handle/123456789/9592
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Sumario:	Fatigue in drivers has become a significant issue in terms of road safety. To address the car accidents caused by microsleep episodes, facial and body detection methods are employed using machine learning-based tools, allowing constant monitoring of facial expressions and body movements to generate alerts. However, when focusing on the average driver's environment, the availability of resources and new technology applications is limited.