OPPO CybeReal AR, an augmented reality application supported by artificial intelligence, eliminates spatial information and provides great convenience.

 

OPPO, the world’s leading smart product brand, sees the combination of artificial intelligence and augmented reality (AR) as the most suitable way for mass adoption of augmented reality technology. OPPO, which introduced the augmented reality application CybeReal AR for the first time at the INNO DAY event last year, has recently made significant advances in this technology. Taking augmented reality to the next level by adopting the artificial intelligence engine, OPPO brought this experience to its flagship stores in China.

OPPO CybeReal AR Launched in China

Currently, at flagship stores at OPPO Beijing Wukesong and Guangzhou Zhengjia Plaza, visitors can interact with the 4-meter-long Find X3 Pro, which descends from the sky into their hands, using the CybeReal to slowly unfold a wall of live photos. The ‘Colorful Future’ background music composed by Hans Zimmer for the Find X3 Series plays in the background, and the wall slowly opens like a parchment in front of the visitors.

Powered by an ever-evolving artificial intelligence engine, the application can transform the interiors of major flagship stores into 3D samples in a matter of hours. The underlying artificial intelligence platform can process 12,000 scanned images per hour. After scanning interiors, the app supports precise and real-time 3D reconstruction in a short time. With OPPO’s AR editing tool, employees can edit AR content materials at any time to create an even more exciting augmented reality environment.

OPPO’s proprietary RLOCS (Access and Localization with Observation Restrictions) visual positioning algorithm validates indoor positioning at the centimeter level. Developed by the technology team in the Intelligent Sensing and Interaction department, the algorithm has been widely accepted academically. At the 2020 European Conference on Computer Vision (ECCV) and Computer Vision and Pattern Recognition Conference (CVPR 2020), the team won two second prizes in the Long Term Localization category.

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