Fatigue driving detection method based on neural network

A technology of fatigue driving and neural network, applied in the field of fatigue driving detection based on neural network, can solve the problem of low detection accuracy of fatigue driving detection technology

Inactive Publication Date: 2021-04-20
ZUNYI NORMAL COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a neural network-based fatigue driving detection method to solve the problem of low detection accuracy of the existing fatigue driving detection technology

Method used

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  • Fatigue driving detection method based on neural network
  • Fatigue driving detection method based on neural network
  • Fatigue driving detection method based on neural network

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Experimental program
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Effect test

Embodiment

[0057] A neural network-based fatigue driving detection method is used to construct a fatigue driving detection system and is mounted on a vehicle-mounted terminal. The vehicle-mounted terminal is set in a long-distance truck for information processing of the fatigue driving detection system and is electrically connected to a camera. The method is basically as attached figure 1 Shown: Include the following steps:

[0058] S1. Collect face images in real time through a camera; the camera selected in this embodiment has a pixel of 640×480 pixels, and is installed in the main cab of a long-distance truck at a distance of 65-80 cm from the driver.

[0059] S2. Perform image preprocessing on the collected face image; the preprocessing includes

[0060] S3. Input the face image after image preprocessing into the convolutional neural network model, perform face positioning and face feature positioning, and output the face feature image after the face feature positioning; the face fe...

Embodiment 2

[0092] The difference between Embodiment 2 and Embodiment 1 is that the neural network-based fatigue driving detection method is applied to long-distance freight trucks, and driver fatigue driving is mainly for long-time driving, among which drivers of long-distance trucks are the majority. Some truck drivers drive tiredly, which not only affects their own safety, but also threatens other vehicles on the highway. Moreover, due to the large volume and quality of trucks, the accidents caused by fatigue driving are often vicious accidents, causing huge loss of life and property. At present, the long-distance truck driver is generally driven by two drivers in turns for avoiding fatigue driving. The vehicle-mounted terminal is also communicatively connected to the user terminal, which is applied to the driver and used to collect the driver's identity information and driving ability information through questionnaires or information registration. The neural network-based fatigue dri...

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Abstract

The invention relates to the technical field of automatic control and computer vision, in particular to a fatigue driving detection method based on a neural network, which comprises the following steps: acquiring a face image in real time through a camera; carrying out image preprocessing on the acquired face image; inputting the face image after image preprocessing into a convolutional neural network model, performing face positioning and face feature positioning, and outputting a face feature image after face feature positioning; wherein the face features comprise eyes and a mouth; calculating a PERCLOS parameter fP, a blink frequency BF parameter fBF and a yawn parameter fyawn according to the state of each face feature in the face feature image; calculating a fatigue index according to the PERCLOS parameter fP, the blinking frequency BF parameter fBF, the yawn parameter fyawn and the corresponding weight; and comparing the fatigue index with an early warning threshold, If the fatigue index meets the early warning threshold, generating early warning prompt information. The problem that an existing fatigue driving detection technology is low in detection accuracy is solved.

Description

technical field [0001] The invention relates to the technical fields of automatic control and computer vision, in particular to a neural network-based fatigue driving detection method. Background technique [0002] In recent years, with the rapid development of China's economy and the maturity of automobile manufacturing technology, the number of vehicles in China has increased year by year, and many ordinary families have their own means of transportation. At the same time, the number of disabled deaths caused by traffic accidents in our country has always been one of the countries with the largest number in the world. At least 500,000 people die due to traffic accidents every year. Traffic accidents have been recognized as the number one threat to human life safety today. A big public nuisance. According to the statistical analysis of traffic accidents, 80%-90% of traffic accidents are caused by human factors, and the driver's fatigue driving will double the possibility o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08
Inventor 敖邦乾曲祥君杨莎陈连贵令狐金卿
Owner ZUNYI NORMAL COLLEGE
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