Indicator state recognition method based on intelligent patrol robot

Abstract

The invention discloses an indicator lamp state identification method based on an intelligent patrol robot, includes building a library of indicator light templates, the video stream data of the indicator light identification area is obtained by using the camera, The detection algorithm is used to obtain the position of the indicator light in the image, the color histogram of the indicator light is calculated, the similarity between the indicator light and the indicator light template library is calculated by the similarity measurement algorithm, and the indicator light state with the largestsimilarity is selected as the recognition result of the indicator light. The invention utilizes the camera to replace the human eye and the computer to process and judge the information instead of thehuman, thus overcoming the problems of low monitoring efficiency and manpower consumption of the traditional manual indicator light, effectively improving the monitoring efficiency and accuracy, andlightening the burden of the monitoring personnel at the same time.

Description

technical field [0001] The invention belongs to the technical field of industrial robots, and in particular relates to a method for identifying the state of an indicator light based on an intelligent inspection robot. Background technique [0002] There are a large number of indicator lights in the industrial environment, which are used to judge whether each device is working normally. When the indicator light shows a certain state, it indicates that there is a fault and needs to be dealt with by the staff in time. Therefore, it is necessary to monitor the status of the indicator lights in real time, and long-term monitoring in traditional manual monitoring is a heavy and tedious task. After all, it is a small number, so manual monitoring will cause huge waste of manpower and low efficiency. For the status monitoring of industrial indicator lights in the traditional sense, it is not only labor-intensive, but also the negligence of monitoring personnel will easily cause fal...

AI Technical Summary

Problems solved by technology

Therefore, it is necessary to monitor the status of the indicator lights in real time, and long-term monitoring in traditional manual monitoring is a heavy and tedious task. After all, it is a small number, so manual monitoring will cause huge waste of manpower and low efficiency

For the status monitoring of industrial indicator lights in the traditional sense, it is not only labor-intensive but also easy to cause false positives due to the negligence of monitoring personnel, so the monitoring efficiency is low

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