Aoyon Nasif - Academia.edu (original) (raw)
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Graduate Center of the City University of New York
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Papers by Aoyon Nasif
2014 International Conference on Electrical Engineering and Information & Communication Technology, 2014
Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vi... more Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vision is a very active field to detect specific human physiology and behavior during driving to detect driver's drowsiness. This paper proposes a design of detection system which can detect fatigue in drivers based on computer vision. The system approaches to detect fatigued drivers by first, detecting the face from a video sequence of driver's frontal face followed by locating the eye from the extracted face. Secondly, system finds the existence of eye pupil from detected eye and measures the blink rate simultaneously and by analyzing these parameters, system measures the loss of awareness before driver completely loss his/her attention. The proposed system aims to be more cost effective than industrial installments and therefore all parameters have been analyzed under laboratory environment and frames have been captured with a low cost webcam.
Implementation of Computer Vision to Detect Driver Fatigue or Drowsiness to Reduce the Chances of Vehicle Accident, Apr 12, 2014
Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vi... more Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vision is a very active field to detect specific human physiology and behavior during driving to detect driver’s drowsiness. This paper proposes a design of detection system which can detect fatigue in drivers based on computer vision. The system approaches to detect fatigued drivers by first, detecting the face from a video sequence of driver’s frontal face followed by locating the eye from the extracted face. Secondly, system finds the existence of eye pupil from detected eye and measures the blink rate simultaneously and by analyzing these parameters, system measures the loss of awareness before driver completely loss his/her attention. The proposed system aims to be more cost effective than industrial installments and therefore all parameters have been analyzed under laboratory environment and frames have been captured with a low cost webcam.
2014 International Conference on Electrical Engineering and Information & Communication Technology, 2014
Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vi... more Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vision is a very active field to detect specific human physiology and behavior during driving to detect driver's drowsiness. This paper proposes a design of detection system which can detect fatigue in drivers based on computer vision. The system approaches to detect fatigued drivers by first, detecting the face from a video sequence of driver's frontal face followed by locating the eye from the extracted face. Secondly, system finds the existence of eye pupil from detected eye and measures the blink rate simultaneously and by analyzing these parameters, system measures the loss of awareness before driver completely loss his/her attention. The proposed system aims to be more cost effective than industrial installments and therefore all parameters have been analyzed under laboratory environment and frames have been captured with a low cost webcam.
Implementation of Computer Vision to Detect Driver Fatigue or Drowsiness to Reduce the Chances of Vehicle Accident, Apr 12, 2014
Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vi... more Fatigue or drowsiness is one of the main reasons of inattention of drivers. Now a day Computer Vision is a very active field to detect specific human physiology and behavior during driving to detect driver’s drowsiness. This paper proposes a design of detection system which can detect fatigue in drivers based on computer vision. The system approaches to detect fatigued drivers by first, detecting the face from a video sequence of driver’s frontal face followed by locating the eye from the extracted face. Secondly, system finds the existence of eye pupil from detected eye and measures the blink rate simultaneously and by analyzing these parameters, system measures the loss of awareness before driver completely loss his/her attention. The proposed system aims to be more cost effective than industrial installments and therefore all parameters have been analyzed under laboratory environment and frames have been captured with a low cost webcam.