Detailed Test of 4 AR Object Tracking SDKs 2021

In order to specifically compare various AR object tracking SDKs on the market, our team chose a physical object with a single texture and heavy reflection - Red Horse Figurine.
As you can see from the video, when collecting point data with Apple ARKit Scanner, the program kept saying "Unable to detect the object" during the verification phase. When using the Vuforia App Scanner, a depth mask shader should have been generated in the center of the red horse was actually flying around, indicating that the acquisition process had failed. A pose needs to be generated for a successful scan while using PTC Vuforia Model Targets. Overall, the most stable object tracking occurred in the Kivisense test, which confirmed that it is ideal for reflective objects.
Kivisense, the world's leading AR solution provider, continuously focuses on the research of AR technology, and has developed various services, including AR shoes try-on, AR eyewear try-on, AR high jewelry try-on, AR watches try-on, Kivicube WebAR Authoring Platform, etc.
To learn more about WebAR, visit: www.kivisense.com/
Or learn more about virtual shoes try-on, visit: tryon.kivisense.com/
Kivisense has supported for more than 1 billion AR scanning interactions in 2020.
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#AR #augmentedreality #AI #objecttracking #3d #WebAR #tech #onlineshopping #marketing

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