Vision-based fatigue driving host detection system and method

Abstract

The invention relates to a vision-based fatigue driving host detection system and method, and the system comprises a video recording playback assembly which generates timestamp information in real time according to a control instruction of an industrial personal computer, analyzes a pre-stored video clip, and generates an analysis file; a fatigue driving host which receives the analysis file and judges corresponding driver state information; an industrial personal computer which is used for sending a control instruction to the video playback assembly and generating a detection result accordingto the driver state information; a scanning gun which is used for scanning an equipment identifier on the fatigue driving host and reading equipment information; and a display which is used for displaying the equipment information of the fatigue driving host and the corresponding detection result. According to the invention, the pre-stored video clips of the fatigue state and the non-fatigue state are analyzed, and the driver state information is determined to determine whether the fatigue driving host is qualified or not, so that the detection efficiency is greatly improved, the influence ofrandom factors on the host is avoided, the host is not influenced by external factors, and the effectiveness and consistency of delivery inspection are ensured.

Description

technical field [0001] The invention relates to the technical field of auto parts detection, in particular to a detection system and method for a visual-based fatigue driving host. Background technique [0002] With the intelligentization of automobiles and the development of camera technology, more and more products based on image sensing and recognition are applied to automobiles, especially in the past 2-3 years, vision-based fatigue driving warnings have begun to be widely used in the automotive field . [0003] The main function of the fatigue driving warning system is to detect behaviors that may affect driving safety. While providing safety warnings for drivers, it also provides technical means for regulatory authorities. Common functions of fatigue driving products include the following two aspects: [0004] 1. Based on the principle of image recognition, it detects and warns of driving behaviors with potential safety hazards such as closing eyes, yawning, making ph...

AI Technical Summary

Problems solved by technology

[0007] 1. At present, the production mainly uses inspectors to simulate behaviors such as closing eyes, yawning, and making phone calls to achieve the purpose of function inspection. This inspection method is inefficient, and because the actions are simulated by inspectors, the randomness is too large. Not conducive to ensuring product consistency

[0008] 2. The success rate of fatigue driving detection will be affected by the bumps of the vehicle, the installation angle of the camera, the sunlight and other aspects

Existing detection of fatigue driving products cannot achieve effective control, tracking and retention of people, machines, objects, materials and methods

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