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Introduction to the model

Banner image for Cooling Tower Detection model

This document explains how to use the Cooling Tower Detection - USA deep learning model available on ArcGIS Living Atlas of the World. The model is used to detect cooling towers in high-resolution imagery.

Detecting cooling towers holds immense significance across various domains. By ensuring efficient operation, it optimizes energy usage, leading to substantial savings and reduced operational costs. Additionally, it safeguards machinery, preventing costly damages by maintaining appropriate temperatures. Efficient cooling tower functioning contributes significantly to water conservation efforts, vital in regions facing water scarcity. Moreover, it enhances safety by averting the release of harmful substances, thus protecting both workers and neighboring communities. Furthermore, it plays a pivotal role in minimizing environmental impact by controlling emissions and reducing pollution in the air and water. Lastly, effective cooling tower detection ensures compliance with regulations, averting fine sand legal issues for industries. In summary, detecting cooling towers is crucial for energy efficiency, equipment protection, water conservation, safety, environmental preservation, and regulatory adherence.

License requirements

To complete this workflow, the following are the license requirements:

  • ArcGIS DesktopArcGIS Image Analyst extension for ArcGIS Pro
  • ArcGIS EnterpriseArcGIS Image Server
  • ArcGIS OnlineArcGIS Image for ArcGIS Online

Model details

This model has the following characteristics:

  • Input—Raster, mosaic dataset, or image service (4-15 centimeter spatial resolution).
  • Output—Feature class containing bounding boxes depicting cooling tower locations.
  • Compute—This workflow is compute intensive, and a GPU with minimum CUDA compute capability of 6.0 is recommended.
  • Applicable geographies—The model is expected to work well in the United States.
  • Architecture—This model uses the MaskRCNN model architecture implemented in ArcGIS API for Python.
  • Accuracy metrics—This model has an average precision score of 0.72.

Access and download the model

Download the Cooling Tower Detection - USA pretrained model from ArcGIS Living Atlas of the World. Alternatively, access the model directly from ArcGIS Pro, or consume it in ArcGIS Image for ArcGIS Online.

  1. Browse to ArcGIS Living Atlas of the World.
  2. Sign in with your ArcGIS Online credentials.
  3. Search for Cooling Tower Detection and open the item page from the search results.
  4. Click the Download button to download the model.

    You can use the downloaded .dlpk file directly in ArcGIS Pro, or upload and use it in ArcGIS Enterprise. Additionally, you can fine-tune the pretrained model if necessary.

Release notes

The following are the release notes:

DateDescription

November 2023

First release of Cooling Tower Detection - USA