Drowsiness Detection Using RASPBERRY PI Model Based On Image Processing Miss
Abstract There are various reasons for accidents on road. The major reasons for accidents on road are fatigueless of driver and second one is the alcohol intoxication. These are the two reasons due to which probability of road accidents increases. These road accidents can be overcome by different ways. In recent years, technologies are developed and various techniques are generated for the detecting the road accidents and also preventing the road accidents. The different technologies which are developed are depending on vehicle, behavioral and physiological. In vehicle based approach, it continuously monitored position of steering wheels, position of lane and pressure on acceleration pedal. In behavioral based approach, it continuously sensed mouth's opening area, eye closure, blinking frequency of eye and head posture. In physiological based approach, it checks ECG, EOG .The proposed system used to detect real time drowsiness along with alcohol intake of car driver. Computer vision and embedded system are used to design the system. The system is based on behavioral based approach, in which we consider eye closing rate, eye blink frequency, and pupil and iris edge detection. Image processing techniques such as Haar features and Hough transform are used for acquiring details of given eye object and further processing. On the other hand, an alcohol gas sensor is used to calculate Blood alcohol content (BAC) from Breath alcohol content (BrAC) Raspberry pi processor is used for image processing.