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Fatigue driving early warning system based on opencv technology

A fatigue driving and early warning system technology, which is applied in alarms, medical science, instruments, etc., can solve the problems of high false alarm rate in image detection methods, and cannot achieve good use effects, so as to avoid false alarms.

Inactive Publication Date: 2018-10-09
JIANGNAN UNIV
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Problems solved by technology

[0004] However, the existing image detection methods have a large false positive rate, and cannot achieve good results.

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  • Fatigue driving early warning system based on opencv technology
  • Fatigue driving early warning system based on opencv technology
  • Fatigue driving early warning system based on opencv technology

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with specific examples, so that those skilled in the art can better understand the present invention and implement it, but the given examples are not intended to limit the present invention.

[0058] An embodiment of the fatigue driving warning system based on opencv technology of the present invention includes an infrared sensor and a camera, and the infrared sensor and the camera are all connected to the processor through a communication module;

[0059] The infrared sensor tracks a certain point on the driver's head and collects the physiological signal of the driver. When the driver is fatigued and then lowers the head's physiological signal, the infrared sensor feeds back the distance signal of the head down to the processor, and the processor is based on the lowering of the head. Check the distance, if it exceeds the specified head-down distance threshold, an early warning will be issued;

[0060...

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Abstract

The invention discloses a fatigue driving early warning system based on opencv technology., The fatigue driving early warning system based on opencv technology comprises an infrared sensor and a camera, wherein the infrared sensor and the camera are all connected with a processor through a communication module; the infrared sensor keeps track of a certain point of the head of the driver and acquires the physiological signal of the driver to judge, thereby early warning and reminding; the camera is used for carrying out real-time tracking on the face of a driving person and transmitting the acquired image as input data to a processor by adopting a sub-frame mode, and the processor judges whether the driver is in a fatigue state at the time when the acquired image is judged, and an early-warning will be sent; an alarm warning is carried out when the infrared sensor detects that the predetermined lower-head distance threshold is exceeded and the camera detects that the upper-and-lower eyelid distance threshold is exceeded. The fatigue driving early warning system based on opencv technology greatly improves the accuracy of the driver's fatigue driving reminding.

Description

technical field [0001] The invention relates to the field of driving safety, in particular to a fatigue driving early warning system based on opencv technology. Background technique [0002] Today's research has proposed many techniques for image recognition, that is, the computer processes, analyzes and understands images to recognize targets and objects in various patterns. In general industrial use, industrial cameras are used to take pictures, and then software is used for further recognition processing based on the gray scale difference of the pictures. The mathematical essence of image recognition belongs to the mapping problem from pattern space to category space. At present, in the development of image recognition, there are mainly three recognition methods: statistical pattern recognition, structural pattern recognition, and fuzzy pattern recognition. Image segmentation is a key technology in image processing, including threshold segmentation methods, edge detecti...

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Application Information

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IPC IPC(8): A61B5/18A61B5/11G08B21/06
CPCA61B5/1128A61B5/18A61B5/6893A61B5/746G08B21/06
Inventor 彭力陶康关晨晨李超张昌伟吕鹏飞
Owner JIANGNAN UNIV
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