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Introduction

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Introduction

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  1. SleepBusterDriver Fatigue Management systemמערכת לניהול עייפות נהגים לצורך הקטנת הסיכוי לתאונה כתוצאה מתשישות בנהיגהיותם גמליאל, נבות דגני, מאור דהאן, מתן זהרי, ורד טל, יהושע יעקוביאן, שיר כהן, תום לרנר, אלכסיי ליטביננקו, מיכאל סמבור, דימה פבלוב, בועז קולמן, ניר קיטלרו, צחי רוהימי, תמר קירש, אמנון תמיר, אמירה שרון, דב דוריטכניון – מכון טכנולוגי לישראל

  2. Introduction • The design was done collaboratively within the Winter 2010-11 Mini-Project course taught by Prof. Dov Dori • In response to the call for contest at INCOSE_IL 2011 • System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood

  3. THE NEED More than 20% of highway traffic accidents are caused as a result of driver fatigue. Prevention of driving under “fatigue influence” using law enforcement is impossible The average driver is not always alert to his state of fatigue BOOM!!!

  4. SYSTEM FUNCTION Reduce the probability of accidents caused by driver fatigue GOALS: Inform the driver of his/her awareness status Slow down the process of falling asleep Recommend to the driver to take an alternative way to the nearest possible resting point

  5. The system Model

  6. מד עייפות מצב מערכת: זיהוי מצב נהג : ערני

  7. מד עייפות מצב מערכת: זיהוי מצב נהג : עייף

  8. מד עייפות מצב מערכת: זיהוי וטיפול מצב נהג : עדיין עייף

  9. The Market Every driver/car owner who understands the danger of driving under fatigue condition Companies who want to keep track of their workers so they do not drive under fatigue condition Parents, who want to take care of their children The Army, police Vehicle producers for use in new cars

  10. Available systems today • Disadvantages: • No treatment! Just detection • High cost • Driver-dependable • Not customizable • Invasive or annoying • Not reliable • Alerts long after the driver should not be on the road

  11. The system principle asleep fatigue drowsy aware - threshold

  12. Detection • EEG – impossible in driving environment • Physical symptoms - unreliable • Eyes and face symptoms – the best way for fatigue detection for our needs

  13. SleepBuster Overview  Detection using existing technologies in order to detect and manage driver fatigue. FIVE different parameters: Eyelid closure (PERCLOS) Blink frequency Head movement Fixed gaze direction Facial expression Produce two signals:      Fatigue - dangerously tired – must find a way to stop urgently      Drowsiness - moderately tired – can continue with stimulations as long as not fatigue

  14. System Overview SleepBuster responds differently based on driver state. In the instance of fatigue, which we consider to be more dangerous, we will use more extreme remedies: Automatically calling a person of driver’s choice Programming the GPS to find the closest rest area.

  15. System OPERATION While in a drowsy state, we will try and occupy the driver in order to keep him alert.  We will request that he do several tasks of his customize: Raising and changing the radio volume Requiring the driver to grasp the wheel tight and sit up straight Opening and closing different windows sporadically at different opening widths Tuning air-condition to be cooler Playing trivia and monitoring driver response This should delay the driver entering the fatigue state for as long as possible.

  16. OPM System DIAGRAM

  17. THE OPM DIAGRAM HIERARCHY AND SAMPLE OPD: Steering Wheel Vibrating

  18. Driver Fatigue Managing In-zoomed

  19. Drowsiness Random Treating In-zoomed

  20. Next generation:tracking of individual data for better accuracy using smartphone/cloud computing

  21. SummarySleepBuster will Save your life!Don’t let the opportunity sleep 

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