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Title: Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
Authors: Bruno Adriano, Eraldo Kepler
Raymundo-Ibanez, Carlos
Quispe Santibáñez, Grimaldo Wilfredo
Dominguez, Francisco
Chavez-Arias, Heyul
metadata.dc.contributor.advisor: Quispe Santibáñez, Grimaldo Wilfredo
Keywords: Prevención de accidentes
Accidentes de tránsito
Control automático
Publisher: Universidad Continental
Issue Date: 2020 18-Dec-2020
Citation: Bruno, E. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú.
Abstract: It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible
Extension: [6] páginas
metadata.dc.rights.accessRights: Acceso abierto
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Appears in Collections:Tesis

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