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Developer Builds Android App That Detects and Aligns Screens Using Computer Vision

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A developer has created an Android application called ScreenFrame (also known as Warp_Flow) that uses real-time computer vision to detect and align display screens through a smartphone camera. The app applies edge detection with adjustable Canny thresholds and homography to handle perspective distortion when a screen is viewed at an angle. To address inconsistent real-world lighting, it includes an adaptive compensation filter for ambient and low-light conditions. Built with Jetpack Compose, Material 3, and Kotlin StateFlow, the app is designed to process camera frames continuously at up to 60 FPS without degrading UI performance. It also features an automatic battery-saving mode that reduces analysis frequency when battery levels drop below 20%.

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Developer Builds Android App That Detects and Aligns Screens Using Computer Vision · ShortSingh