Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/132366
Title: Detección de somnolencia y síncope en conductores mediante visión artificial
Author: Jiménez Berlanga, José Manuel
Director: Monzo Sánchez, Carlos
Tutor: Ortega Redondo, Juan Antonio
Keywords: face detection
computer vision
detection of drowsines
Issue Date: Jun-2021
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: Traffic accidents are one of the main causes of mortality among the population, with 1.25 million deaths per year being also the main cause of death in young people (5 to 29 years). Of these, 8% of traffic accidents are due to drowsiness and fatigue [1]. This situation has not gone unnoticed by the authorities, who have been implementing mitigating and corrective measures for years to reduce the number of accidents, so that one of the main novelties for the coming years will be the obligatory nature of automatic systems for detecting driver fatigue from the 2022 [2]. That is why the present work aims to implement a software technology demonstrator capable of detecting / predicting the fatigue state of a driver by acquiring and processing images to determine the blink rate and interpret the result. The system will allow the user to know the result of the analysis under soft real-time requirements. The system is proposed as an artificial vision application, which guarantees the absence of problems derived from interoperability with the vehicle's proprietary HW-SW systems.
Language: Spanish
URI: http://hdl.handle.net/10609/132366
Appears in Collections:Bachelor thesis, research projects, etc.

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