Overview
Are you undertaking a complex structural inspection using drones? One of the challenges we frequently see is that the total images used in a drone inspection project can grow quickly, and before you know, it can become a daunting task to filter through the images and look for the images that actually show vital information!
For instance, there could be a broken tile on the roof of a building, but if you make your client or stakeholder comb through dozens of drone images to get to the images that matter, this will typically lead waste a lot of valuable time that the inspection is trying to save in the first place!
Ultimately, a drone inspection's main goal is to help the client or stakeholder get to data-driven decisions quickly!
To enable this, we have developed an image tagging and filtering workflow which allow you or your end customer to easily tag and filter all the drone images. Curious to learn how this works? Let's take a look.
Step 1. Upload your Drone Images
Before you can tag and filter your images, it's important that you correctly upload all your images. Ensure that the images are not pre-processed in any way and they preserve their geo-tags and EXIF data which can be very helpful in the correct visualisation of the images.
Step 2. Process Your Images into a Drone 3D Model
When it comes to structural inspections, building context of the asset or the site is key. So make sure that your images are processed into a 3D model before you tag and filter them for the inspection workflow.
Step 3. Annotate & Tag Your Drone Images
Once you've got a nice looking 3D model, you can now start your inspection workflow by annotating the relevant images. It's important here to not just annotate the images but also give the images relevant tags.
For example, you might have a building inspection project and you might want to create separate tags for roof, facade and entrance of the building.
Step 4. Bulk Tag Your Drone Inspection Images
Doing Step 3 for each image separately can quickly become tedious. So you always have the option to bulk tag your images. Simply select the image thumbnails that you wish to tag, and once they turn blue, you can click on the tag button to bulk tag them all in one go!
Step 5. Filter Your Drone Images
The final step in this workflow is pretty straightforward. You can now reap the benefits of your hard work and allow your client or stakeholder to easily filter through the images. Are they only interested in the roof images? No problem, you have a tag for that. Only facade images next? No problem at all.
Step 6. AI Based Tagging
At Hammer Missions, we are thrilled to share that all projects will soon have the ability to leverage AI for tagging. You can automatically separate your images in the right image groups by simply providing instructions to Hammer Missions' AI. Watch this space!
Summary
In this guide, we built a better understanding of why tagging and filtering your images in a drone project are important. We than looked at the 5 main steps you can use to tag and filter out your images with Hammer Missions.
About Hammer Missions
Hammer Missions provides survey-grade drone software solutions to help streamline drone inspections, site surveys, 3D mapping and asset monitoring projects.
Find out how Hammer Missions can simplify your drone missions.
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