Driver Inattention Research Paper

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Abstract—Driver inattention is one of the main reasons for frequent road accidents around the globe. Consequently, road accident prevention system by detecting the driver’s inattention, which measures the level of driver drowsiness and provide a warning in case of mishappening has received a great deal of attention as a measure to prevent road accidents.
In this paper an efficient system to prevent road accidents is designed using the eye blink IR sensor and alcohol sensor. The IR transmitter is used to transmit the infrared rays in our eye. The IR receiver is used to receive the reflected infrared rays of eye. If the eye is closed than the output of IR receiver is high otherwise the output is low. This helps in eye detection. This output is
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They require simplifying the problem to work under special conditions for example D.Taneral [1] presents automatic drowsy driver monitoring and accident prevention system that is based on monitoring the changes in the eye blink duration. In addition to tracking the face and the eyes to compute drowsiness index Garcia [2] has also presented a non intrusive approach for drowsiness detection based on computer vision. It is installed in the car and it is able to work under real operation conditions. In this an IR camera is placed in the front of the driver, in the dashboard .In order to detect his face and obtain drowsiness clues from their eyes closure. The work in [3]shows driver’s drowsiness is determined using vehicle based measures, behavioral measures and psychological measures which make this a hybrid drowsiness detection system .[4] shows detection of drowsiness based on head movement and geometrical features of mouth is proposed. Experiment was conducted on sample size of 50 video clips and observed that the head movement contributes about 8%.. Possible techniques for detecting drowsiness in drivers is generally divided into the following…show more content…
Transmitter section
In transmitter section we have one microcontroller which is connected with an eye blink sensor. Here, eye blink sensor is used as an input device which gives the digital signal to the microcontroller so that microcontroller can produce the output and transmit it to the receiver with the help of RF antenna

C. Receiver section
In receiver section we have another microcontroller which is connected with a RF antenna and LCD display, buzzer and motor ICs in which RF antenna receives the signals from the transmitter antenna which works as an input to the microcontroller. Now, microcontroller produces the output

IV. FUTURE SCOPE
Image processing can be inculcated in this project for better accuracy and efficiency of the system but in a more complex way. By using ‘Voila Jones theorems’ of face recognition in image processing, we can get more accurate results. Image processing is right at the core. Once developed this could bring changes in millions of lives.
V. CONCLUSION
In this project we want to convey a message that although technologies are improving day by day but people should aware about their safety as well as the safety of the people around them so that our project and idea can work more efficiently. Thus we can say ‘Drive well, Drive smart for the people you want to see happy'. In the end stay updated , stay

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