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Machine Learning for Roof Inspections

24/02/2021

Studio Victoria

2 minutes

After your Roof Inspection you should have received a highly detailed and accurate roof geometry report, highlighting the damages of your roof, if any, for you to get them fixed as soon as possible. In this article, we will explore how Machine Learning can support you with your roof repairs by answering the following questions: How can Machine Learning help with Roof Inspections? And How can we track your roof repair progress with Machine Learning? Keep reading to find how Machine Learning and Roof Inspections can help you to #ONEUPYOURBUSINESS!

HOW CAN MACHINE LEARNING HELP WITH ROOF INSPECTIONS?

First and foremost, to briefly explain Machine Learning (ML), it is a subset of Artificial Intelligence (AI) and is defined as "the study of computer algorithms that improve automatically through experience" according to Wikipedia, by which it has the ability to learn from data it's being constantly fed.

ML is commonly used to analyse data to find recurring and common patterns and apply them to new sets of data. And due to its capability of finding common patterns and learning from vast amounts of data, this means ML can forecast and track things such as your roof's energy consumption and performance, repairs, and damages.

HOW CAN WE TRACK YOUR ROOF REPAIR PROGRESS WITH MACHINE LEARNING?

Regardless of how minor or major the damages on your roof may be, if you are carrying out full roof repairs, you can keep track of the repair progress to detect discrepancies very early on, prevent unnecessary delays, and save you money. Below we provide a list of how we can help you track your roof's repair progress with Machine Learning:

CONDUCTING REGULAR INSPECTIONS

In order to get the most out of Machine Learning we need to conduct regular and frequent inspections, as the more data we feed to the system, the more accurate and precise the comparison results will be.

PROVIDING VISUALS OF YOUR ROOF'S REPAIR PROGRESS

By performing repeated Roof Inspections of the same roof over the duration of the project, you will have constantly updated roof reports and combined with our Machine Learning software, we can identify discrepancies by keeping a side-by-side track of the repair's progress, going back and forth between the different scans. This not only provides you with updated reports of the repairs but also visuals so you see for yourself the progress being made.

CONSTANT UPDATED INFORMATION

As Machine Learning analyses the results from the frequent drone inspections we conduct, comparing your roof's repair progress can save your project vast amounts of money by giving you constantly updated information to spot discrepancies as they occur, preventing unnecessary delays.

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