A marker is a visual, scannable through your augmented reality application.
Once the marker is created, you will be able to add around it augmented reality interactions. These interactions will be visible throughout your application, once the marker is scanned.
To create a marker, you must first click on the campaign of your choice.
Markers can be created individually by uploading a single JPG or PNG image, or grouped by uploading a PDF file.
You may also want to upload a bunch of target images grouped into a single ZIP file. In that latter case, you will also have the ability to include all your target and interaction files into the ZIP together with a CSV for mapping how interactions should be positioned on each page. For more details about CSV/ZIP method, please refer to the documentation portal: https://ar-go.zendesk.com/hc/fr-fr/articles/360005716499-Uploader-tool
Just as for campaigns, you can set validity dates for your target. You can also manually activate or deactivate a target at any time.
Create a new marker
You must choose a name for your marker, then you can either upload a file from your computer or fill the URL of a target image. Once you have selected your image, click the « Create » button.
Congratulations, you've created your first marker!
In case you create several targets from the exact same or very similar images, a "duplicate" warning will show in the target thumbnail. When duplicates occur, mobile app won't be able to control which one of the duplicate images will be recognized first. So we recommend you not to upload images that are visually too close.
If you require a more advanced approach for target recognition, we offer the ability to change some of the recognition parameters. This includes focusing on specific areas of your target image. Selecting specific areas will let you focus on differentiating parts of the target while avoiding common parts (a logo, a recurrent image, etc.) to be included into the recognition process, which may cause duplicates issue. Autocontrasting option may also improve the overall recognition process, especially when the original image comes with low contrasts or pastel colors.
In any case, your original image will still show in the mobile app (featured campaigns, scan history, etc.) in full resolution, but recognition and tracking tasks will be processed based on the optimized version you edited.