A LOW COST DESIGN TO DETECT DROWSINESS OF DRIVER

The aim of the paper is to design an economical system that monitors the drowsiness of the driver. The system will use a camera to monitor the driver's eyes. To achieve this, the system will capture video from a day – night sensitive camera and use image processing algorithms running on a Raspberry Pi board to detect any drowsiness in eyes. This system focuses on development in the most economical way so that it can be implemented in comparatively lower end vehicles too which form the larger crown on roads and prevent loss of human life through accidents of such types.