Image Analysis – Human Style

Utility companies rely increasingly on GPS-tagged images to keep track of their infrastructure. As an asset management tool, precise imagery is vital, because it lets specialists and trained repair crews evaluate where precisely to use resources on repairs – and perhaps even more valuable, to pinpoint where not to spend resources.
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Utility companies rely increasingly on GPS-tagged images to keep track of their infrastructure. As an asset management tool, precise imagery is vital, because it lets specialists and trained repair crews evaluate where precisely to use resources on repairs – and perhaps even more valuable, to pinpoint where not to spend resources.

As a result, utility companies often need to manage and analyse thousands of images. It’s a time-consuming task, especially if you have, say, 250,000 photos covering hundreds of miles of infrastructure, power lines, substations and assorted hardware to look at.

Human eyes still beat computers

We have our own team of analysts working on all our inspection projects. The fact that we employ actual human beings to do the task has a couple of advantages:

First, although the ultimate dream is to automate everything via AI, we’re not quite there yet. A trained person is actually much more precise than any computer – at least until we have amassed enough data to train reliable AI algorithms.

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