Engine driver state monitoring method and device based on video face analysis

Abstract

The invention discloses an engine driver state monitoring method and a device based on video face analysis. The method comprises the following steps: collecting the monitoring video images of an engine driver in real time; conducting face detection to the collected monitoring video images to obtain the detecting results of acquired driver face images or driver face images which are not acquired; analyzing the detecting results and acquiring the information of the on-duty state of the driver; according to the information of the on-duty state of the driver, confirming if the driver leaves a post, and issuing reminding and alarming information of the driver when confirming that the driver leaves the post; acquiring the fatigue state information of the driver through the analysis of the acquired face image of the driver; and according to the fatigue state information of the driver, confirming if the driver is fatigue, and when the driver is confirmed to be fatigue, issuing fatigue reminding and alarming information of the driver. According to the engine driver state monitoring method and the device based on the video face analysis, automatic identification and alarming reminding of the engine driver state can be completed, and automatic identification alarming and real-time scene reminding of the engine driver state are achieved.

Description

technical field [0001] The invention relates to image processing, image analysis, face detection and eye image classification technology in a remote train driver state monitoring and alarm system, in particular to a train driver state monitoring method and related devices based on video face analysis. Background technique [0002] The automatic identification and remote control technology of the train driver's status is the inevitable trend of the development of the railway safety monitoring system towards automation and intelligence. The existing locomotive remote monitoring system mainly realizes the remote transmission of the locomotive environmental monitoring video, which cannot complete the automatic identification and alarm of the train driver's status, nor can it provide real-time on-site reminders. If the driver is away from work for a long time or fatigued, and the safety personnel on duty in the remote management center fail to find out in time, it will easily cau...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a train driver status monitoring method and device based on video face analysis, which can better solve the problems of low automation level and inability to provide real-time on-site reminder signals in the actual application of the existing locomotive remote monitoring system. question

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