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얼굴 특징점 검출을 이용한 임베디드 보드에서의 운전자 졸음 검출 시스템
최길희(Gil Hee Choi),이영훈(Yeoung-Hun Lee),김현민(Hyun-Min Kim),정지정(Ji-sung Jung),고형화(Hyung-Hwa Ko) 대한전자공학회 2019 대한전자공학회 학술대회 Vol.2019 No.11
By using facial landmark detection for driver’s drowsiness detection in embedded board, it can implement driver drowsiness detection at the car. The proposed system is tested on Pine H-64 and Jetson Nano, and the system is considering the embedded board’s performance limit so as not to strain the calculation of the board. The proposed system is developed to fit for a variety of users for a more accurate driver’s drowsiness judgment.