Thermal imaging with perspective correction

A method for monitoring a temperature of an asset located within an environment, the method comprising:

• receiving a thermal image of the environment that includes an asset by using a thermal image capture device positioned on a transport instrument that is instructed to patrol the environment, wherein the transport instrument moves within the environment in an autonomous or semi-autonomous manner;
• identifying the asset from a database of assets;
• determining at least one region of interests of the asset where temperature measurement is to be performed;
• adjusting movement of the transport instrument for successful processing of the thermal image;
• and
• calculating at least one temperature value of the asset.

A computer-implemented method of training a neural network for asset detection comprising:

• collecting a set of digital asset images from a database;
• applying one or more transformations to each digital asset image, including mirroring, rotating, smoothing, sharpening, blurring, increasing contrast, increasing saturation, increasing brightness, decreasing contrast, decreasing saturation, decreasing brightness, cropping, zooming in, or zooming out to create a modified set of digital asset images;
• creating a first training set comprising the collected set of digital asset images, the modified set of digital asset images, and a set of digital non-asset images;
• training the neural network in a first stage using the first training set;
• creating a second training set for a second stage of training comprising the first training set and digital non-asset images that are incorrectly detected as asset images after the first stage of training;
• and
• training the neural network in the second stage using the second training set.