Railway foreign body invasion distributed intelligent monitoring system based on machine vision

Abstract

The invention discloses a railway foreign body invasion distributed intelligent monitoring system based on machine vision. The system comprises an image acquisition unit, an image processing unit, a background estimation module, a target segmentation module, a target positioning module, a feature extraction module, a target recognition module, a behavior understanding module, a threat estimation module and an early warning module, which are connected in sequence. The monitoring system obtains a target image based on a binocular camera, and through middleware technology, supports the distributed deployment and centralized management of monitoring points and ensures system integrity and flexibility as well as effective processing capacity. The system is characterized by monitoring foreign body target information, processing the target image and positioning a foreign body target; then, carrying out threat analysis on the foreign body target; and finally, giving an early warning alert according to threat degree thereof, thereby facilitating trains along the railway to take preventive measures, and preventing accidents.

Description

technical field [0001] The invention belongs to the technical field of security monitoring, and in particular relates to a machine vision-based distributed intelligent monitoring system for railway foreign matter invasion limitation. Background technique [0002] With the continuous improvement of train running speed, there are more and more potential safety hazards in train driving. During the operation of the train, if there is an obstacle intruding on the line, the emergency braking will inevitably require a long braking distance, which may easily cause a train derailment accident; due to the high speed of the train, it is difficult for the driver to respond quickly to the state of the line. Detect the state of foreign matter invasion as early as possible, give early warning, and take corresponding emergency measures. Therefore, the present invention designs an intelligent monitoring system based on machine vision to automatically monitor the invasion of railway foreign ...

AI Technical Summary

Problems solved by technology

During the operation of the train, if there is an obstacle intruding on the line, the emergency braking will inevitably require a long braking distance, which may easily cause a train derailment accident; due to the high speed of the train, it is difficult for the driver to respond quickly to the state of the line. Detect the state of foreign matter invasion as early as possible, give early warning, and take corresponding emergency measures

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