Safe driving system (SDS) for drunk drivers with blindspot / Alif Zulhakim Aizu

• Main Author: Aizu, Alif Zulhakim
• Format: Student Project
• Language: English
• Published: 2024
• Subjects: Indexes (General)
• Online Access: https://ir.uitm.edu.my/id/eprint/101394/1/101394.pdf; https://ir.uitm.edu.my/id/eprint/101394/

Modern technology has revolutionized many industries, most notably driving safety. By using cutting-edge technology to provide early warnings and enable prompt responses to possible road hazards, the alcohol and blind spot detection system helps prevent accidents. The two main factors that lead to traffic accidents are blind spot collisions and drunk driving. Effective safety measures are essential due to the rising number of vehicles on the road and the growing concern over traffic accidents. The proposed safe driving system incorporates ultrasonic sensors and an MQ-3 Gas Sensor breathalyser as input ports. Through controlled tests and user sessions, it establishes a smart hardware system that identifies areas for improvement and assesses system accuracy, efficacy, and user acceptance. To alert the driver, the output port of the system uses an LCD, a buzzer and LEDs. The software part involves circuit simulation using Proteus 8, to ensure the output align with system requirement. The project targets two key safety concerns, aiming to minimize overall traffic accidents. The importance of proactive driver safety measures can change transportation environment. A successful execution is anticipated to heighten driver confidence, lower accident rates, and improve road safety, with the system consisting of both software and hardware components. Future recommendation includes exploring features to enhance driver safety and refining the system based on feedback from user.