Seat belt control system : drowsiness detector system

• Main Author: Nur Aisyah, Abdul Rahman
• Format: Undergraduates Project Papers
• Language: English
• Published: 2022
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/42498/1/NUR%20AISYAH%20BINTI%20ABDUL%20RAHMAN.pdf; http://umpir.ump.edu.my/id/eprint/42498/

Throughout this era of transformation, the safety of every vehicle produced has become a highest concern. Consequently, every automotive design engineer and specialist has made this a primary focus for all future productions. This is due to rising in the percentage of vehicle drivers died in road accidents as a matter of fact with not wearing a seat belt, fatigue as well as drowsiness. In accordance with this, the use of seat belts can reduce number of road accidents and decrease fatalities among passengers. According to the collected data, every use of seat belt significantly reduces the risk by 60% to 44%. Several initiatives have been undertaken in this regard to develop vehicle safety systems. This technology is consisted of interlink between three sub-system develop in prototype. Firstly, for seat belt detection system we preferred magnetic reed switches fitted within the seat belt buckle for the seat belt detector. Then, as the seat belt is buckled and unbuckled, it will measure a high and low output. If the seat belt is unbuckled for I 0 seconds, an alarm will be triggered, and the 5V motor will begin to slow down, all while the system is linked to alcohol detectors system. The MQ3 Sensor was attached to an oled screen display for the alcohol detection. When the alcohol content exceeds the level of sobriety, the display will read alcohol concentration. After that, the speed of motor would gradually decrease. Following that is a system that alerts the driver when it detects a change in facial behaviours, indicating that the driver is drowsy. In addition, for the drowsiness system, entails the process of camera installations that enable day and night detection as well the alert notification. This system will detect closed and open eye and mouth movements. Thus, the facial landmark shape detector and Haar cascaded clarified algorithms are applied. Furthermore, the vehicle tracking system is designed to trace the location of the vehicle and transmit information through message to the heirs contact in the case of triggered the limit switch. Thus, the $GPGGA String is one of algorithm that has applied, it is to extract coordinates from the GPS receiver and sends to GSM in tenns of coordinates as latitude and longitude. At the end, the developed system can be implemented in older models of vehicles to decrease the rate of accidents and fatalities in Malaysia, as well improve safety of the driver.