OnePlus announces Android 12-based OxygenOS 12 Open Beta update for OnePlus 9R

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OnePlus has announced OxygenOS 12 Open Beta update for OnePlus 9R users. The new beta update brings features like Work Life Balance mode, three adjustable levels of Dark mode, new gestures for Gallery and Canvas always-on display (AOD).
To recall, OnePlus 9R was launched in March 2021 along with OnePlus 9 and OnePlus 9 Pro as the most-affordable OnePlus 9 series phone. It comes with a starting price of Rs 39,999.
Here’s the complete changelog:
System

  • Optimized desktop icons with improved textures, by using a design inspired by brand-new materials and uniting lights and layers
  • Dark mode
  • Dark mode now supports three adjustable levels, bringing a more personalized and comfortable user experience

Shelf

  • New additional style options for Cards, making data contents more visual and easier to read
  • Newly added Earphone Control Card with Bluetooth earphone one-click adjustment
  • Newly added access to OnePlus Scout in Shelf, allowing you to search multiple contents on your phone, including apps, settings, media data, etc
  • Newly added OnePlus Watch Card in Shelf, to easily glance at your health stats

Work Life Balance

  • Work Life Balance feature is now available to all users, allowing you to effortlessly switch between Work and Life mode via quick settings
  • WLB 2.0 now supports automatic Work/Life mode switching, based on specific locations, Wi-Fi network, and time, also bringing customized app notification profiles according to the personalization

Gallery

  • Gallery now allows you to switch between different layouts with a two-finger pinch gesture, intelligently recognizing the best-quality pictures, and cropping the thumbnail based on the content, making the gallery layout more pleasing

Canvas AOD

  • Canvas AOD brings you new diverse styles of lines and colors, for a more personalized lock screen experience with inspiring visuals
  • Newly added multiple brushes and strokes and support for color adjustment
  • Optimized software algorithm and improved face recognition to better identify the features and skin color of different figures.



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