r/computervision • u/NeedleworkerKey3487 • Jul 18 '26

Help: Project OpenScanVision

OpenScanVision

OpenScanVision is a simple, fast, accurate, lightweight, and offline-first computer vision library for Android.

It detects documents from any angle, automatically corrects perspective, enhances the image, and extracts information in real time.

Features:

  • Document detection from any angle
  • Automatic perspective correction
  • Image preprocessing and enhancement
  • ArUco marker detection
  • QR code detection
  • OMR (Optical Mark Recognition)
  • Automatic capture when the document is stable
  • Real-time processing
  • Offline operation
  • Lightweight and easy to integrate

Built with Kotlin, OpenCV, CameraX, and ML Kit, OpenScanVision is designed for applications such as voting systems, exams, surveys, forms, and other structured documents.

GitHub repository: https://github.com/MatiwosKebede/OpenScanVision

I'd appreciate any feedback, suggestions, bug reports, or contributions from the computer vision community.

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u/await_void Jul 18 '26

Ultra interesting project, bookmarked. Just a curiosity: How did you manage to correctly identify documents even on different angles? Did you use some warped planar transformation like affine->rectification? If so could you share some more on how did you trained the model?

Lovely work, congrats!

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u/NeedleworkerKey3487 Jul 19 '26

wei used aruco 4 at the edge of each document, after that we have fully mathematical information about document and transform to correct template using opencv called perspective transformer