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We’re excited to announce that Artec Leo has done it again, this time grabbing the Gold in the 2020 Edison Awards Applied Technology category (Subcategory: AI UX (User Experience)). After careful deliberation, this AI-based 3D scanner with onboard data processing was selected from a shortlist of other trailblazing innovations for the highest award in its respective category.
Since 2008, Artec 3D has been creating state-of-the-art 3D scanners. Today, Artec 3D scanners are busy scanning objects of all kinds around the globe in industries as diverse as automotive, education, healthcare, reverse engineering, quality inspection, and beyond.
The Artec Leo is a quantum leap forward in 3D scanning, giving users of all skill levels the power of professional, high-resolution 3D scanning with fully wireless, onboard automatic processing. Regardless of industry, users can now easily capture objects in vivid color 3D and watch a digital replica of the object appear in real time on Leo’s rear touch panel screen. In mere minutes, it’s possible to create stunningly accurate 3D models of everything from the human body to high-performance bicycle frames to priceless art objects, and much more.
The Artec Leo has been engineered from the ground up to deliver the most intuitive scanning experience from beginning to end. This translates to unparalleled ease-of-use, where even newcomers to 3D scanning can be capturing objects within their first few minutes of use, while veteran scanning pros find their workflows to be more productive than ever before, especially with the Artec Leo’s ultrafast 3D capture rate.
Artec 3D is proud to announce the first prize winners of the ECCV 2020 SHARP Challenge, held on August 23rd in Glasgow, Scotland, as well as online.
HD mode, powered by a first-of-its-kind AI Engine, offers detail-rich scans with extensive surface coverage and minimal to no noise
With a full 3D model of the dinosaur skull, visitors and students are able to view the CU Museum of Natural History’s most popular exhibit despite coronavirus closure.