| CPC H02B 3/00 (2013.01) [G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06F 18/40 (2023.01); G06N 3/045 (2023.01); G06T 11/00 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); H04N 5/33 (2013.01)] | 21 Claims |

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1. An apparatus for monitoring a switchgear, the apparatus comprising:
a processor, wherein the processor is configured to:
obtain a monitored infra-red image of the switchgear,
implement a machine learning classifier algorithm to analyze the monitored infra-red image and determine if there is one or more anomalous hot spots in the switchgear,
wherein the machine learning classifier algorithm has been trained based on a plurality of different training images comprising a plurality of synthetic infra-red images, wherein the plurality of synthetic infra-red images are directly output from an image processing algorithm by directly inputting at least one marked-up image of the switchgear into the image processing algorithm,
wherein the at least one marked-up image of the switchgear indicates a marking associated with at least one hotspot that is added based on user input from a user; and
output information relating to the one or more anomalous hot spots.
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