After your [Visual Inspection](/blog/what-are-visual-inspections/ "Visual Inspection") we conducted with cutting-edge drones, you should have received a highly detailed and thorough report that outlines if repairs are needed. This article will explore how Machine Learning can support you with the repairs by answering the following questions: **How can Machine Learning help with Visual Inspections conducted by drones?** And **How can we combine our Visual Inspections with Machine Learning?** Keep reading to find how Machine Learning for Visual Inspections can help you to **#ONEUPYOURBUSINESS**!

## HOW CAN MACHINE LEARNING HELP WITH DRONE VISUAL INSPECTIONS CONDUCTED BY DRONES?

[Machine Learning](/blog/machine-learning-with-drones-and-3d-models/ "Machine Learning") (ML) is changing the game on how industries operate as it allows businesses to harness the power of [Artificial Intelligence](/blog/what-is-artificial-intelligence/ "Artificial Intelligence") (AI), helping them to save time, money, and effort.

In multiple sectors, for example, manufacturing, the technologies: Machine Vision (technology that supports Machine Learning) and Deep Learning (DL) is adopted to streamline operations, merged they can detect surface and cosmetic defects, e.g., scratches and dents, which is helpful especially in sectors like manufacturing as they will be able to see objects that are not up to high-quality standards. This goes to show that collaborating and implementing digital, algorithmic technology can support your business and employees.

Moving on from manufacturing, when conducting [visual inspections](/blog/what-are-visual-inspections/ "Visual Inspections") on various assets, e.g.: land, buildings, and infrastructure, drones and ML go hand-in-hand. Drones can feed real-time imagery from any of the sensors (photographic, thermal or multispectral) to external monitors, giving you complete visibility of the condition of your assets in a matter of minutes. The real-time feed can help you to locate the areas that need specific attention, quickly assess discrepancies, and compare your asset to *“as-designed"* versus the real result (*“as-built”*), allowing you to track and compare the progress of repairs.

## HOW CAN WE COMBINE OUR VISUAL INSPECTIONS WITH MACHINE LEARNING?

Machine Learning and Artificial Intelligence are vital tools for analysing the output from our drones and 3D scanners.  By using ML and AI in combination with our UAV drones and 3D Models, you get several key advantages:

- Keeping track of changes in stockpile volumes and their precise locations
- Detects discrepancies very early on, preventing unnecessary delays and saving you money
- Increases safety, especially on construction sites
- All inspection records are organised in a timeline layout that can be easily navigated and accessed

Since ML can offer you several advantages, our solutions can provide you with:

### VISUALS OF YOUR PROJECTS PROGRESS
Machine Learning can enable you to track repairs on your assets and a project's progress. For instance, if you've had your roof inspected and maintenance is needed, performing frequent inspections of the same roof throughout the project's repair progress will show you the progression happening and identify discrepancies early on. Therefore, Visual Inspections combined with ML can provide you with side-by-side visuals that show you the comparisons of each different scan, allowing you to track and monitor your project's progress, take accurate measurements, calculate stockpile volumes, check possible erosion, etc.

It is important to note that to get the most out of Machine Learning, we need to conduct regular and frequent inspections. The more information we feed into the system, the more accurate and precise the comparison results will be.

You can learn more about Machine Learning for Roof Repairs by clicking [here](/blog/machine-learning-and-roof-inspections/ "here").

### CONSTANT UPDATED INFORMATION
Machine Learning analyses the data collected from the frequent drone inspections saving you time, effort and money as you obtain real-time information that allows you to spot discrepancies as they occur, preventing unnecessary delays and reducing downtime.

### EVIDENCE FOR CLAIMS
The back and forth navigation and the side-by-side comparisons can ensure that the work carried out on your project is being done according to specification.

The comparisons of “as-designed vs as-built” are also valuable in a situation where detailed evidence is needed, like insurance claims.

### FULL INTEGRATION OF VISUAL INSPECTIONS WITH BIM
We advocate for implementing [BIM Level 2 and beyond](blog/why-you-should-implement-bim/ "BIM Level 2 and beyond") into your projects and aim to make your business more productive. Hence, all of our drone Visual Inspections can be formatted and exported to different formats and standards like shapefile, GeoTIFF, .obj, .las, WGS84, etc. This choice provides your current workflow with the ultimate flexibility by importing the results we gathered using drones to your preferred BIM application.

Learn how Machine Learning and our Visual Inspections conducted by drones can help you with monitoring and tracking your project's progression.

Articles about ml

Explore more topics