ARTIFICIAL INTELLIGENCE MONITORING SYSTEM USING INFRARED IMAGES TO IDENTIFY HOTSPOTS IN A SWITCHGEAR

摘要

The present invention relates to an apparatus for monitoring a switchgear. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to provide the processing unit with a monitor infra-red image of a switchgear. The processing unit is configured to implement a machine learning classifier algorithm to analyse the monitor infra-red image and determine if there is one or more anomalous hot spots in the switchgear. The machine learning classifier algorithm has been trained on the basis of a plurality of training images of a switchgear. The processing unit is configured to implement an image processing algorithm operating as a discriminator to analyse the monitor infra-red image to determine information relating to the expected efficacy of the machine learning classifier algorithm in analysing the monitor infra-red image. The image processing algorithm is trained to operate as a discriminator on the basis of at least some of the plurality of training images. The output unit is configured to output the information relating to the expected efficacy of the machine learning classifier algorithm in analysing the monitor infra-red image