Design and research on the fatigue detection system of ship bridge duty based on image processing

Abstract

With the development of the marine economy, the number of ships is increasing day by day, and is developing towards large-scale, diversified and professional development, and marine accidents caused by driver fatigue have attracted more and more attention. In order to reduce marine traffic accidents caused by fatigue driving of ship drivers and ensure the safety of life and property at sea, it is very necessary and important to study effective methods to detect the fatigue state of ship drivers in real time. This article mainly studies the early warning of ship fatigue driving. In view of the difficulties of the ship fatigue driving detection technology, reasonable performance indicators of the ship anti-fatigue driving image processing and early warning system are proposed; according to the system performance indicators, the HOG+SVM method is determined to automatically track the human face, and the human eye detection and tracking method is designed. Improved the method of eyelid closure to determine fatigue. In order to determine the eye opening and closing state or blinking frequency. The PERCLOS method is used to determine whether the driver is tired, and a warning is given when the ship’s watch driver is tired. The system has the characteristics of non-contact, real-time, etc. and complies with the relevant technical standards of the International Maritime Organization (IMO) on the ship bridge fatigue warning system (BNWAS).