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Development of smart sense system for real-time driver monitoring/ NATHANIEL R, CABRERA, RAY BENJAMIN M. BAGTAS, SAMANTHA RIEL A. CUBCUBIN, MICO and Gary M. Hetis.--

By: Contributor(s): Material type: TextTextPublication details: MANILA TECHNOLOGICAL UNIVERSITY OF THE PHILIPPINES 2025Description: x, 70 pages: 29 cmContent type:
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  • BTH TL 146  C33 2025
Dissertation note: College of Industrial Technology Bachelor of Engineering Technology major in mechanical Engineering technology with an option automotive technology: Technological University of the Philippines 2025 Summary: This capstone study presented the design and development of a Smart Sense System for Real-Time Driver Monitoring, aligned with advancements in intelligent transportation systems and in-vehicle safety technologies. Road accidents caused by human factors—such as driver fatigue, abnormal physiological conditions, and alcohol intoxication—have continued to pose serious safety concerns due to the absence of integrated, real-time health assessment mechanisms in vehicles. Existing patented systems and empirical studies have explored driver monitoring using wearable devices, camera-based observation, or standalone alcohol-detection modules; however, many relied on single-parameter measurements and were highly dependent on visual analysis or continuous network connectivity. These limitations revealed a research gap in developing an affordable, integrated multi-sensor system capable of continuous driver health monitoring and timely safety intervention. The objectives of this study were to design, fabricate, and evaluate a real-time driver monitoring system capable of detecting vital signs, identifying alcohol impairment, and initiating automated emergency alerts. The research methodology involved system design, prototype fabrication, sensor integration, microcontroller programming, and controlled laboratory testing under simulated driving conditions. Experimental results demonstrated that the system achieved acceptable accuracy in heart rate and body temperature monitoring, correctly classified alcohol levels, effectively prevented vehicle ignition during unsafe driving conditions, and successfully transmitted emergency SMS alerts with GPS coordinates. Overall, the study contributed a proactive, health-based driver-monitoring approach that may benefit individual drivers, families, fleet operators, and the transport industry, while supporting road-safety initiatives and goals related to intelligent mobility and public health. Keywords: Driver Monitoring System, Vital Sign Monitoring, Alcohol Detection, Emergency Alert System, Road Safety Technology
List(s) this item appears in: CIT-BET- Mechanical Technology- Automotive Technology
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Bachelor's Thesis

College of Industrial Technology Bachelor of Engineering Technology major in mechanical Engineering technology with an option automotive technology: Technological University of the Philippines 2025

Includes bibliographic references and index.

This capstone study presented the design and development of a Smart Sense System for
Real-Time Driver Monitoring, aligned with advancements in intelligent transportation
systems and in-vehicle safety technologies. Road accidents caused by human factors—such
as driver fatigue, abnormal physiological conditions, and alcohol intoxication—have
continued to pose serious safety concerns due to the absence of integrated, real-time health
assessment mechanisms in vehicles. Existing patented systems and empirical studies have
explored driver monitoring using wearable devices, camera-based observation, or
standalone alcohol-detection modules; however, many relied on single-parameter
measurements and were highly dependent on visual analysis or continuous network
connectivity. These limitations revealed a research gap in developing an affordable,
integrated multi-sensor system capable of continuous driver health monitoring and timely
safety intervention. The objectives of this study were to design, fabricate, and evaluate a
real-time driver monitoring system capable of detecting vital signs, identifying alcohol
impairment, and initiating automated emergency alerts. The research methodology
involved system design, prototype fabrication, sensor integration, microcontroller
programming, and controlled laboratory testing under simulated driving conditions.
Experimental results demonstrated that the system achieved acceptable accuracy in heart
rate and body temperature monitoring, correctly classified alcohol levels, effectively
prevented vehicle ignition during unsafe driving conditions, and successfully transmitted
emergency SMS alerts with GPS coordinates. Overall, the study contributed a proactive,
health-based driver-monitoring approach that may benefit individual drivers, families, fleet
operators, and the transport industry, while supporting road-safety initiatives and goals
related to intelligent mobility and public health.

Keywords: Driver Monitoring System, Vital Sign Monitoring, Alcohol Detection,
Emergency Alert System, Road Safety Technology

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