An Alcohol Driver Detection System Examination Using Virtual Instruments
Abstract
This study explores an alcohol driver detection system employing virtual instruments. This research focuses on the design, development, and evaluation of a system aimed at detecting and preventing alcohol-induced driving incidents. Using virtual instruments, the system integrates sensors and technologies to accurately and efficiently identify alcohol levels in drivers. The MQ-3 alcohol sensor element’s analog output voltage is detected by the system, which then converts it to measurements for the alcohol concentration and blood alcohol concentration (BAC). After the readings are presented on the LCD screen, a DC Piezo Buzzer alert is set off when the alcohol level reaches a predetermined threshold. When a DC Piezo Buzzer goes off, it produces a loud sound that can be heard from a distance for the driver to pull off the road. The pitch of the tone can be changed by varying the voltage applied to the piezoelectric disk. The device can accurately identify the presence of alcohol and provide matching measurements, according to experimental results, with the lowest alcohol percentage of 37.5% having a lower BAC value of 0.021 with an analog value of 100 (threshold). This technology can be an effective tool for lowering the incidence of drunk-driving collisions and enhancing traffic safety. Furthermore, the research delves into the potential real-world application and impact of such a system in enhancing road safety measures and reducing alcohol-related induced accidents. The findings will contribute to the advancement of technology-driven solutions for mitigating risks associated with drunk driving.
Keywords: virtual instrumentation, MQ-3 alcohol sensor element, DC Piezo buzzer, blood alcohol concentration, Arduino Uno R3 microcontroller, traffic safety.
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