IOT alcohol sense engine lock and GPS / Aiman Rafiq Hassannudin

Hassannudin, Aiman Rafiq (2024) IOT alcohol sense engine lock and GPS / Aiman Rafiq Hassannudin. [Student Project] (Unpublished)
Abstract

By combining cutting-edge technology, the Smart Driving Safety System tackles the urgent problem of alcohol-impaired driving. Real-time alcohol level and position monitoring is provided by the system, which consists of a MQ-3 alcohol sensor, GPS module, SIM 900A communication module, LCD display, LEDs, L298 motor driver, and DC motor. Increased alcohol levels cause visual alerts, information to appear on the LCD, and the SIM 900A module to start performing functions including engine immobilization. The research is focused on precise sensor calibration, sophisticated GPS functionalities, and machine learning-driven adaptive responses for precision and responsiveness. Two-way communication and a multicolor LED feedback system improve user interaction, and security measures protect user information. In keeping with the overarching objective of lowering accidents brought on by drunk driving and encouraging appropriate road behavior, the system's proactive approach and preventive measures are designed to make driving safer. In order to reduce the hazards associated with driving under the influence of alcohol, the suggested Smart Driving Safety System offers a user-centric solution that combines real time monitoring, alarms, and intervention mechanisms.

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