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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Bibliographic Details
Main Authors:	Guarnizo Rengifo, Cristian David, Cortes Silvestre, Danilo
Other Authors:	Orjuela Vargas, Sergio Alejandro
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2024
Subjects:	machine learning jetson tx2 sistema piloto pilot system
Online Access:	http://repositorio.uan.edu.co/handle/123456789/9592
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Description
Summary:	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.