Introduction to Augmented Reality
Imagine spilling a box filled with Lego bricks over a table. Now, take a leap with me—don your imaginary augmented reality glasses. The camera within the AR glasses will immediately start cataloging all the differing types of bricks in front of you, from different shapes to colours, offering up suggestions on models you’ll be able to construct with the pieces you might have. But wait, someone is on the door. You go to ascertain it and are available back. Thankfully, your glasses need not rescan all of those pieces. The AR knows they’re sitting on the table where you left them.
How Perceptus Works
That ability to repeatedly remember real-life objects which have been scanned is the most important pitch of a brand new AR software platform called Perceptus from Singulos Research. Perceptus can hold those objects in memory even when the camera just isn’t directly the scene anymore. As you walked over to reply the door, the Perceptus platform kept interested by what else you may construct with the pieces on the table. It didn’t stop working simply because you were now not the pieces.
Understanding the Concept
“When we’re in an AR space, we do not take a look at the entire room suddenly, we only take a look at a component of it,” says Brad Quinton, Singulos Research’s CEO. “As humans, we now have no trouble with the concept there are things that exist that we will not see in the mean time because we saw them before and we remember them. Once you might have AR that may understand what’s around you, it could possibly go off and proactively do things for you.”
Technical Aspects
At least, that is the thought. Perceptus acts as a layer above existing AR technologies like Apple’s ARKit or Google’s ARCore, which developers use today to create AR apps. But quite a bit must occur behind the scenes before this will work in your smartphone or tablet. The app developer provides Singulos Research with 3D models of the Lego bricks—or any object—it wants Perceptus to detect. The platform then uses a kind of machine learning process through which it studies all the various ways it could possibly expect to see the thing in the true world, with different lighting conditions, on various surfaces, and so forth.
Implementation and Future Development
Perceptus is then layered over the developer’s app, allowing it to utilize this recent object comprehension. It’s the developer’s job to make sure that the app actually gives you things to do with the objects, like the best way our imaginary Lego app might suggest stuff you’ll be able to construct using the bricks it identifies. Object scanning and identification are still very much manual processes. To start, app developers who license the Perceptus platform will need to offer computer-aided design models of the objects they need it to memorize. But those CAD models will probably be added to Singulos’ library, and future developers will give you the chance to hunt through the digital stacks to more quickly find the objects they need.
Conclusion
Soon, Quinton expects Perceptus to give you the chance to discover a swath of common items—especially since there are already “large numbers of very accurate 3D models available" from video game makers. This technology has the potential to revolutionize the best way we interact with augmented reality, making it more intuitive and user-friendly. As the sector continues to evolve, we are able to expect to see more revolutionary applications of Perceptus and similar technologies, changing the best way we live, work, and play. With its ability to recollect and understand objects in the true world, Perceptus is poised to take augmented reality to the following level, opening up recent possibilities for entertainment, education, and beyond.
