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AI-generated Key Takeaways
Platform-specific guides are available for configuring and using the AR camera on Android (Kotlin/Java), Android NDK (C), Unity (AR Foundation), and Unreal Engine.
AR apps utilize device cameras and sensors to interpret the real world.
You can configure the AR camera, use image metadata, buffer frames, and share camera access to optimize your AR app's performance.
The user's device has cameras (usually both front and back) and various sensors,
such as an accelerometer, that provide data to your AR app for interpreting the
real world. The camera itself may have a depth sensor and be able to determine
the range, dimensions, and other useful data about the targets it detects.
For your AR app, you configure the camera for optimal performance. You can also
use camera image metadata, frame buffering, and shared camera access to tune
performance. The guides above describe some of the AR camera capabilities for
each platform.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-07-14 UTC."],[],["AR applications can utilize device camera data and sensors. Key actions include configuring camera settings for optimal AR performance, accessing camera image metadata, buffering camera frames, and sharing camera access. These functionalities are detailed in platform-specific guides for Android (Kotlin/Java), Android NDK (C), Unity (AR Foundation), and Unreal Engine. Camera capabilities include detecting range, dimensions, and other data about real-world targets, which helps to interpret the real world.\n"]]
