Driver fatigue detecting system based on smart mobile phone

Abstract

The invention discloses a driver fatigue detecting system based on a smart mobile phone. A video colleting module (1) collects images of the face and the eyes of a driver. An image preprocessing module (2) removes image noise through the gray scale adjustment of the image pixel points. A face detecting and locating module (3) achieves face detection and locating based on image pixel nonlinear color transformation. A face following module (4) improves the speed of detection of the face area of the driver through the correlation between every two adjacent images. An eye detecting module (5) conducts binarization on the images based on the improved horizontal Sobel edge detection method. An eye feature parameter extracting module (6) extracts the pupil opening degree feature parameters. A fatigue judging module (7) judges whether the driver is fatigue when driving a vehicle based on the PERCLOS method. According to the driver fatigue detecting system based on the smart mobile phone, the face detection is rapid, efficient and accurate, the requirement for the resolution is low, a camera of an ordinary mobile phone can achieve image collection and detection, popularization and application are convenient, cost is low, and the accuracy is high.

Description

Technical field [0001] The invention relates to an automobile safety auxiliary tool, in particular to a driver fatigue detection system based on a mobile smart phone. Background technique [0002] Today, with the rapid development of intelligent technology, automobile driving is also developing in the direction of intelligence and safety. The detection of driver fatigue is the key technology of automobile intelligent assisted driving. This patent mainly realizes the monitoring, tracking and fatigue determination of the driver's facial state, and provides guarantee for safe driving of the vehicle. [0003] Fatigue driving is one of the main causes of traffic accidents. According to a report from the National Highway Traffic Safety Administration (NHSA), there were about 4,700 deaths in the United States in 2000 due to driver inattention, fatigue, lack of sleep and other reasons. According to the information provided by the Ministry of Public Security of my country, from January to...

AI Technical Summary

Problems solved by technology

[0012] In recent years, the field of automotive safety aids has begun to explore the provision of a driver fatigue detection system by detecting eye activities. The fatigue recognition method, based on the human eye positioning method of active infrared light, improves the accuracy of human eye detection and can ensure the real-time performance of detection, but this paper directly detects the eyes, image processing, and high pixel requirements for the image acquisition device. Moreover, it is necessary to process the difference between odd and even frames on the video sequence, which is complicated. If the pixels of the collected image are low, Gaussian smoothing filtering may filter out key data, resulting in detection failure

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