Press Release
We're thrilled to announce the release of MultiSet v1.5, delivering significant enhancements designed to elevate the precision, reliability, and efficiency of your augmented reality experiences. Here's a quick look at what's new:
Localization has always been the cornerstone of high-quality AR experiences. With v1.5, MultiSet VPS has significantly improved localization accuracy under challenging conditions, such as changing environments and varied viewports. Whether you're deploying AR in dynamic retail spaces or fast-paced industrial settings, MultiSet VPS ensures robust and accurate positioning.
The latest update brings substantial improvements to the mapping capabilities within the Multiset app, providing smoother and more accurate map captures directly from mobile devices. The enhancements mean quicker mapping, fewer errors, and a seamless workflow for AR creators.
Efficiency matters, especially when handling large venue scans. You can now upload your E57 files compressed as Zip archives, speeding up the upload and processing times significantly. Spend less time waiting and more time creating compelling AR experiences.
Our Unity SDK now features a brand-new localization scene that uses multiple query frames, enabling robust localization with unprecedented accuracy. This improvement ensures your AR applications are reliable and precise, delivering consistent results even in complex real-world scenarios.
We’ve addressed and fixed the mesh color texturing issue for E57 files, ensuring your imported scans now maintain true-to-life colors and textures. Your 3D models will look better than ever, enhancing the visual fidelity of your AR projects.
In rigorous testing scenarios, MultiSet v1.5 demonstrated impressive localization accuracy:
These metrics reinforce MultiSet's capability to handle diverse AR scenarios, from intricate small spaces to expansive environments, with exceptional precision.
Ready to explore the power of MultiSet.ai v1.5? Dive into our latest update and experience the difference firsthand.