ADAS-Integrated Intelligent Driver Impairment Intervention and Fleet Telematics Safety System

Abstract

The proposed system is an ADAS-integrated safety system to reduce road accidents caused by impaired driving conditions such as alcohol influence and driver fatigue. The system uses a dual controller architecture, where an ESP32 micro-controller and a Raspberry Pi are combined to achieve efficient and real-time operation. The ESP32 mainly handles the safety critical functions. These include alcohol detection, vehicle speed monitoring, engine lockout, and adaptive speed control. On the other hand, the Raspberry Pi is used for vision-based drowsiness detection. It performs facial landmark analysis to identify signs of fatigue from drivers. To further improve the system capability, GPS based tracking is also included with the cloud supported telematics. This enables real-time fleet monitoring and alert generation. During critical conditions, vehicle location and alerts information is sent to the authorized team. At the same time, the driver receives safety warnings and next safe rest stop recommendations when fatigue is detected. The proposed system combines driver monitoring, vehicle control, and telematics into one embedded solution. As a result, it can be applied effectively in intelligent transportation and fleet safety systems.