%0 Journal Article %1 C_2015 %A Mundhe, Prof. Suresh C %A Dhumal, Prof. Trupti A %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K HSV RGB blurring. drowsiness thresholding %N 3 %P 911--914 %R 10.17762/ijritcc2321-8169.150302 %T Computer Based System for Sleep Detection of Driver %U http://dx.doi.org/10.17762/ijritcc2321-8169.150302 %V 3 %X Driver drowsiness represents an important risk on the roads. It is one of the main factors leading to accidents or near-missed accidents. So there is a need to develop a system to detect drowsiness of a driver so that the risk of accidents due to drowsiness can be reduced. The Computer Based System to Detect Sleep of a Driver includes the process for detecting the drowsiness of a driver. It detects driver drowsiness and progressively warns the driver, so that he/she can either correct the behavior or stop driving .Video of the driver is taken as input to the system from this video frames are extracted. Then each extracted frame is processed by the system. First of all, blurring of image is done. Then RGB to HSV conversion of image is done. After conversion of image to HSV color format thresholding is applied. Head movement of driver is tracked through camera and offset is set. If head movement offset is greater than set offset value drowsiness of driver is detected and alarm is generated.

@article{C_2015, abstract = {Driver drowsiness represents an important risk on the roads. It is one of the main factors leading to accidents or near-missed accidents. So there is a need to develop a system to detect drowsiness of a driver so that the risk of accidents due to drowsiness can be reduced. The Computer Based System to Detect Sleep of a Driver includes the process for detecting the drowsiness of a driver. It detects driver drowsiness and progressively warns the driver, so that he/she can either correct the behavior or stop driving .Video of the driver is taken as input to the system from this video frames are extracted. Then each extracted frame is processed by the system. First of all, blurring of image is done. Then RGB to HSV conversion of image is done. After conversion of image to HSV color format thresholding is applied. Head movement of driver is tracked through camera and offset is set. If head movement offset is greater than set offset value drowsiness of driver is detected and alarm is generated.}, added-at = {2015-08-06T06:59:56.000+0200}, author = {Mundhe, Prof. Suresh C and Dhumal, Prof. Trupti A}, biburl = {https://www.bibsonomy.org/bibtex/2568ccdf229168c34fd9da1272fbdfc64/ijritcc}, doi = {10.17762/ijritcc2321-8169.150302}, interhash = {427fc885870e252f7cd3895139f597c9}, intrahash = {568ccdf229168c34fd9da1272fbdfc64}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {HSV RGB blurring. drowsiness thresholding}, month = {march}, number = 3, pages = {911--914}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-06T06:59:56.000+0200}, title = {Computer Based System for Sleep Detection of Driver}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150302}, volume = 3, year = 2015 }