The genARate platform uses a technology called “2D markerless tracking” to be able to recognize the targets you are using inside your scenarios. Since these images are the backbone of each augmented reality scenario and heavily responsible for the quality of the end user experience you should make sure to select the right images and test them well before use.

The technology is working based on contrasts – so please make sure to follow this simple rule: The more rich contrasts the image provides, the better the result of the image recognition will be. But please note that there are exceptions (see section “Good Targets vs. Bad Targets

Star Rating:

To ease the work with target images the genARate platform provides an automated testing functionality of images during the upload. As you could already see during the creation of your very first AR experience a star rating is shown for each uploaded target image giving an indication of the quality of the related image for tracking and recognition performance:

0-1 Star

The image does not provide enough contrasts/rich elements for proper working image recognition, we highly recommend to use a different image

2-3 Stars

The image should work “OK” but tracking might be fragile to reflections or bad lighting conditions

4 stars

The image provides rich contrasts and features for a properly working tracking


Automated testing is a virtual process to identify contrast patterns in your image. Normally this will provide a valid result, but in exceptional cases, the given result might be inaccurate or simply wrong. Therefore, it should be treated as an indication but does not replace doing proper manual testing of your target image!

In addition please stick to the requirements below:
Preferred images have:
  • Between 700×1000 pixels in each dimension
  • An aspect ratio roughly square
  • Rich contrast
  • Evenly distributed textured areas
  • Many corner like structures
  • A prominent squarish part
  • File size restriction: max 1 MB
Unsuitable images have:
  • Smaller dimensions than 500 pixels
  • Extreme aspect ratios
  • Large amounts of text
  • Many repetitive patterns
  • Large single-colored areas
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