Lucid Reveals Software-Based Depth-Sensing For Android OEMs


The imaging experts at Lucid will now be expanding operations beyond the company's own LucidCam and offering A.I-enhanced 3D and depth-sensing solutions for any mobile device with a multi-camera array. That's according to an announcement made at this year's Mobile Mobile World Congress Shanghai 2018 event. The company points out that its software solution, based on a proprietary A.I.-driven real-time 3D Fusion technology, will fit in perfectly with the current trends in smartphone photography. Namely, it has been predicted that as many as half of handsets will ship with at least one dual-camera built in by 2020. Lucid sees its software platform as an affordable alternative to complex custom hardware-based solutions. It will, according to the company, save both time and resources. What's more, although the software is already very accurate, the company says that machine learning will help improve the algorithms over time with widespread use. Best of all, the platform is available now and should work with nearly any dual-sensor camera array.

Of course, this isn't the first time that Lucid has teamed up with mobile manufacturers. It has also partnered with laptop manufacturers, chipset makers, and drone and robotics OEMs in the past with its software. With that said, following a year-over-year growth which saw Lucid's revenues increase by ten times, the company says it's ready to become the de facto name in 3D mobile image sensing. In fact, it has enhanced its mobile solution so that all that's required for the software to run on a device is a "vision profile." Presumably, that's comprised of a detailed set of numbers associated with the specs of a given camera sensor, size of apertures, the distance between sensors, and other similar figures. Lucid describes it as being close to the process and results of a typical eye exam and says that the software is implemented during the manufacturing process.

The entire system, meanwhile, is also tied in with 'historic data in the cloud" which should allow a mobile camera to continually learn and improve over time. Moreover, the software-based nature of the solution should mean that future programmatic updates can be released alongside over-the-air deliveries. That way, manufacturers and users aren't necessarily out of luck if their camera doesn't perform perfectly on day one and new features can be unlocked in the same way as they're created.

Share this page

Copyright ©2018 Android Headlines. All Rights Reserved.

This post may contain affiliate links. See our privacy policy for more information.
Junior Editor

Daniel has been writing for AndroidHeadlines since 2016. As a Senior Staff Writer for the site, Daniel specializes in reviewing a diverse range of technology products and covering topics related to Chrome OS and Chromebooks. Daniel holds a Bachelor’s Degree in Software Engineering and has a background in Writing and Graphics Design that drives his passion for Android, Google products, the science behind the technology, and the direction it's heading. Contact him at [email protected]

View Comments