際際滷shows by User: ssuser075dcd / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ssuser075dcd / Fri, 07 Apr 2017 11:51:36 GMT 際際滷Share feed for 際際滷shows by User: ssuser075dcd Thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in /slideshow/thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74636174 thesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardeepsing-170407115137
The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.]]>
The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.]]> Fri, 07 Apr 2017 11:51:36 GMT /slideshow/thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74636174 ssuser075dcd@slideshare.net(ssuser075dcd) Thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in ssuser075dcd The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardeepsing-170407115137-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.
Thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in from HardeepSingh Dhillon
]]> 425 12 https://cdn.slidesharecdn.com/ss_thumbnails/thesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardeepsing-170407115137-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Final thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in /slideshow/final-thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74305643 finalthesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardee-170404053439
Published in: Power Electronics (IICPE), 2010 India International Conference on Date of Conference: 28-30 Jan. 2011 Date Added to IEEE Xplore: 10 March 2011 ISBN Information: Electronic ISBN: 978-1-4244-7882-8 Print ISBN: 978-1-4244-7883-5 CD-ROM ISBN: 978-1-4244-7881-1 Print on Demand(PoD) ISBN: 978-1-4244-7883-5 ISSN Information: INSPEC Accession Number: 11873780 DOI: 10.1109/IICPE.2011.5728062 Publisher: IEEE ABSTRACT The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.]]>
Published in: Power Electronics (IICPE), 2010 India International Conference on Date of Conference: 28-30 Jan. 2011 Date Added to IEEE Xplore: 10 March 2011 ISBN Information: Electronic ISBN: 978-1-4244-7882-8 Print ISBN: 978-1-4244-7883-5 CD-ROM ISBN: 978-1-4244-7881-1 Print on Demand(PoD) ISBN: 978-1-4244-7883-5 ISSN Information: INSPEC Accession Number: 11873780 DOI: 10.1109/IICPE.2011.5728062 Publisher: IEEE ABSTRACT The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.]]> Tue, 04 Apr 2017 05:34:38 GMT /slideshow/final-thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74305643 ssuser075dcd@slideshare.net(ssuser075dcd) Final thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in ssuser075dcd Published in: Power Electronics (IICPE), 2010 India International Conference on Date of Conference: 28-30 Jan. 2011 Date Added to IEEE Xplore: 10 March 2011 ISBN Information: Electronic ISBN: 978-1-4244-7882-8 Print ISBN: 978-1-4244-7883-5 CD-ROM ISBN: 978-1-4244-7881-1 Print on Demand(PoD) ISBN: 978-1-4244-7883-5 ISSN Information: INSPEC Accession Number: 11873780 DOI: 10.1109/IICPE.2011.5728062 Publisher: IEEE ABSTRACT The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalthesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardee-170404053439-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Published in: Power Electronics (IICPE), 2010 India International Conference on Date of Conference: 28-30 Jan. 2011 Date Added to IEEE Xplore: 10 March 2011 ISBN Information: Electronic ISBN: 978-1-4244-7882-8 Print ISBN: 978-1-4244-7883-5 CD-ROM ISBN: 978-1-4244-7881-1 Print on Demand(PoD) ISBN: 978-1-4244-7883-5 ISSN Information: INSPEC Accession Number: 11873780 DOI: 10.1109/IICPE.2011.5728062 Publisher: IEEE ABSTRACT The Project entitled Eye Tracking based Driver Fatigue Monitoring and Warning System consists of the hardware and the software modules. The main idea behind this project is to develope a non-intrusive system which can detect fatigue of driver and issue a timely warning. Since large number of road accidents are caused by driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will detect eye movement to detect the fatigue state of driver. By monitoring the eyes using camera and developing an algorithm we can detect symptoms of driver fatigue early enough to avoid an accident. So this project will be helpful in detecting driver fatigue in advance and will gave a warning output in form of sound and vibration. For indication of warning we will use two approaches i.e one by blowing alarm and second by seat belt vibration whose frequency will vary between 100 to 300 Hzs. Moreover the warning will be deactivated manually rather than automatically. So for this purpose a deactivation switch will be used to deactivate warning. Moreover if driver felt drowsy there is possibility of sudden acceleration or de-acceleration hence we can judge this by plotting a graph in time domain and when all three input variables shows a possibility of fatigue at one moment then a warning signal is shown in form of text or red colour circle. This will directly give an indication of drowsiness/fatigue which can be further used as record of driver performance or can be used by traffic police which can take further action accordingly.
Final thesis report on eye tracking based driver fatigue hardeep singh pec university of tech chandigarh india hardeepsingh.ec08@pec.edu.in from HardeepSingh Dhillon
]]> 503 8 https://cdn.slidesharecdn.com/ss_thumbnails/finalthesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardee-170404053439-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ssuser075dcd-48x48.jpg?cb=1593240923 Work for the continuous learning and satisfaction Specialties: Softwares : Verliog, VHDL Languages : C, C++ Operating Systems : Windows /2000/XP, https://cdn.slidesharecdn.com/ss_thumbnails/thesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardeepsing-170407115137-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74636174 Thesis report on eye t... https://cdn.slidesharecdn.com/ss_thumbnails/finalthesisreportoneyetrackingbaseddriverfatiguehardeepsinghpecuniversityoftechchandigarhindiahardee-170404053439-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/final-thesis-report-on-eye-tracking-based-driver-fatigue-hardeep-singh-pec-university-of-tech-chandigarh-india-hardeepsinghec08peceduin/74305643 Final thesis report on...